【论文合集】Awesome Object Detection in Aerial Images

这篇具有很好参考价值的文章主要介绍了【论文合集】Awesome Object Detection in Aerial Images。希望对大家有所帮助。如果存在错误或未考虑完全的地方,请大家不吝赐教,您也可以点击"举报违法"按钮提交疑问。

Overview

No. Year Pub. Title Links
08 2022 arXiv Towards Large-Scale Small Object Detection: Survey and Benchmarks
Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Junwei Han
Paper/Data
07 2021 PAMI Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges DOTA   
Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, et al.
Paper/Proj
06 2020 IJCV Deep Learning for Generic Object Detection: A Survey GOD
Li Liu, Wanli Ouyang, et al.
Paper/Code
05 2020 JPRS Object detection in optical remote sensing images: A survey and a new benchmark HBB
Ke Li, Gong Cheng, et al.
Paper/Data
04 2019 TNNLS Object Detection With Deep Learning: A Review GOD
Zhongqiu Zhao, et al.
Paper/Code
03 2018 JPRS A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches
Su Ye, Rahul Rakshit, et al.
Paper/Code
02 2018 CVPR DOTA: A Large-Scale Dataset for Object Detection in Aerial Images DOTA
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, et al.
Paper/Code
01 2016 JPRS A survey on object detection in optical remote sensing images
Gong Cheng, Junwei Han
Paper/Code

Oriented Object Detection

Preprint

Year Pub. Title Links
2021 arXiv11 Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
Guo-Ye Yang, Xiang-Li Li, et al.
Paper/Code
2021 arXiv09 DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection
Steven Lang, et al.
Paper/Code

2023

No. Pub. Title Links
06 CVPR Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Chang Xu, Jian Ding, Jinwang Wang, Chang Xu, Huai Yu, Lei Yu, Gui-Song Xia
Paper/Code
05 CVPR SOOD: Towards Semi-Supervised Oriented Object Detection
Wei Hua, Dingkang Liang, jingyu li, Xiaolong Liu, Zhikang Zou, Xiaoqing Ye, Xiang Bai
Paper/Code
04 CVPR Knowledge Combination to Learn Rotated Detection Without Rotated Annotation
Tianyu Zhu, Bryce Ferenczi, Pulak Purkait, Tom Drummond, Hamid Rezatofighi, Anton van den Hengel
Paper/Code
03 CVPR Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
Yi Yu, Feipeng Da
Paper/Code
02 ICLR H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
Yang, Xue and Zhang, Gefan and Li, Wentong and Wang, Xuehui and Zhou, Yue and Yan, Junchi
Paper/Code
01 TCSVT AO2-DETR: Arbitrary-Oriented Object Detection Transformer
Linhui Dai, Hong Liu, Hao Tang, Zhiwei Wu, Pinhao Song
Paper/Code

2022

No. Pub. Title Links
14 TGRS Anchor-free Oriented Proposal Generator for Object Detection
Gong Cheng, Jiabao Wang, et al.
Paper/Code
13 IJCV On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited
Xue Yang, Junchi Yan
Paper/Code
12 ECCV EAutoDet: Efficient Architecture Search for Object Detection
Xiaoxing Wang, Jiale Lin, Junchi Yan, Juanping Zhao, Xiaokang Yang
Paper/Code
11 PAMI SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
Xue Yang, Junchi Yan, et al.
Paper/Proj
10 TIP GGHL: A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection
Zhanchao Huang, Wei Li, et al.
Paper/Code
09 TCSVT RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection
Wen Qian, Xue Yang, et al.
Paper/Code
08 CVPR Interactive Multi-Class Tiny-Object Detection
Chunggi Lee, Seonwook Park, Heon Song, Jeongun Ryu, Sanghoon Kim
Paper/Code
07 CVPR Weakly Supervised Rotation-Invariant Aerial Object Detection Network
Xiaoxu Feng, Gong Cheng, et al.
Paper/Code
06 CVPR OSKDet: Towards Orientation-sensitive Keypoint Localization for Rotated Object Detection
Dongchen Lu, et al.
Paper/Code
05 CVPR Oriented RepPoints for Aerial Object Detection
Wentong Li, Jianke Zhu
Paper/Code
04 CVPR Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
Yang You, Cewu Lu, et al.
Paper/Code
03 AAAI Shape-Adaptive Selection and Measurement for Oriented Object Detection
Liping Hou, Ke Lu, et al.
Paper/Code
MMRotate
02 AAAI Polygon-to-Polygon Distance Loss for Rotated Object Detection
Yang Yang, Jifeng Chen, et al.
Paper/Code/Slides
01 TMM AdaZoom: Towards Scale-Aware Large Scene Object Detection HBB
Jingtao Xu, Yali Li, et al.
Paper/Code
arXiv

2021

No. Pub. Title Links
16 PAMI Gliding Vertex on the Horizontal Bounding Box for Multi-Oriented Object Detection
Yongchao Xu, et al.
Paper/arXiv
Code
15 TIP GSDet: Object Detection in Aerial Images Based on Scale Reasoning 
Wei Li, Wei Wei, Lei Zhang
Paper/Code
14 NeurIPS Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang, Junchi Yan, et al.
Paper/Code
13 ICCV Towards Rotation Invariance in Object Detection
Agastya Kalra, Guy Stoppi, et al.
Paper/Code
12 ICCV Oriented R-CNN for Object Detection
X. Xie, Gong Cheng, et al.
Paper/Code
11 MM Polar Ray: A Single-stage Angle-free Detector for Oriented Object Detection in Aerial Images
Shuai Liu, Huchuan Lu, et al.
Paper/Code
10 ICML Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, et al.
arXiv/Code
SUPP
09 CVPR ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Jiaming Han, Jian Ding, Nan Xue, Gui-Song Xia
Paper/Code
08 CVPR Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection
Z. Guo, Qixiang Ye, et al.
Paper/Code/
Journal
07 CVPR Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
Xue Yang, Junchi Yan, et al.
Paper/Code
06 CVPR GAIA: A Transfer Learning System of Object Detection that Fits Your Needs HBB
X. Bu, Zhaoxiang Zhang, et al.
Paper/Code
05 AAAI Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Qi Ming, Zhiqiang Zhou, et al.
Paper/Code
04 AAAI Learning Modulated Loss for Rotated Object Detection RSDet
Wen Qian, Xue Yang, Junchi Yang, et al.
Paper/arXiv
Code
03 AAAI R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object   
Xue Yang, Junchi Yang, et al.
Paper/arXiv
Py/TF
02 WACV Oriented object detection in aerial images with box boundary-aware vectors
Yi, Jingru and Wu, Pengxiang and Liu, Bo and Huang, Qiaoying and Qu, Hui and Metaxas, Dimitris
Paper/Code
01 PR Gradient-Aligned Convolution Neural Network rotation invariance
You Hao, Ping Hu, et al.
Paper/Code

2020

No. Pub. Title Links
10 TIP A Global-Local Self-Adaptive Network for Drone-View Object Detection
Sutao Deng, et al.
Paper/Code
09 TNNLS CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images
Qifeng Lin, et al.
Paper/Code
08 JPRS Orientation guided anchoring for geospatial object detection from remote sensing imagery
Yongtao Yu, et al.
Paper/Code
07 JPRS Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images  
Kun Fu, et al.
Paper/Code
06 JPRS Oriented objects as pairs of middle lines
Haoran Wei, et al.
Paper/Code
05 ECCV Arbitrary-Oriented Object Detection with Circular Smooth Label Conf
On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited Journal
Xue Yang, Junchi Yan, Tao He
Paper/Code
Code2/Journal
Proj/Data
04 ECCV PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments
Zhiming Chen, Weiyao Lin, et al.
Paper/Code
03 ICME Cascade Detector With Feature Fusion For Arbitrary-Oriented Objects In Remote Sensing Images
Liping Hou, Ke Lu, et al.
Paper/Code
02 CVPR Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
Zhuo Zheng, et al.
Paper/Code
01 CVPR Dynamic Refinement Network for Oriented and Densely Packed Object Detection 
X. Pan, Changsheng Xu, et al.
Paper/Code

2019

No. Pub. Title Links
09 TIP Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
Gong Cheng, Junwei Han, et al.
Paper/CVPR16
Code
08 TGRS CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery
Gongjie Zhang, Shijian Lu, Wei Zhang
Paper/arXiv
Code
07 ICCV Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach HBB
Zhenyu Wu, et al.
Paper/Code
06 ICCV SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
Xue Yang, Junchi Yan, et al.
Paper/Code
05 ICCV Clustered Object Detection in Aerial Images HBB
Fan Yang, Haibin Ling, et al.
Paper/Code
04 ICME Cropping Region Proposal Network Based Framework for Efficient Object Detection on Large Scale Remote Sensing Images
Qifeng Lin, et al.
Paper/Code
03 CVPR Learning RoI Transformer for Oriented Object Detection in Aerial Images 
Jian Ding, Nan Xue, et al.
Paper/Code
02 CVPR Precise Detection in Densely Packed Scenes GOD
Eran Goldman, Roei Herzig, et al.
Paper/Code
01 CVPR Towards Universal Object Detection by Domain Attention
Xudong Wang, et al.
Paper/Code

2018

No. Pub. Title Links
03 TIP Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images
Zhengxia Zou, Zhenwei Shi
Paper/Code
02 CVPR DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, et al.
Paper/Code
01 CVPR ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information HBB
R. Londe, Dong Zhang, Mubarak Shah
Paper/arXiv
Code

Before 2018

No. Year Pub. Title Links
04 2016 CVPR RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
Gong Cheng, Peicheng Zhou, Junwei Han
Paper/Code
03 2016 TGRS Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images 
Gong Cheng, Peicheng Zhou, Junwei Han
Paper/Code1
Code2
02 2016 ECCV A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning [HBB]
T. Nathan Mundhenk, et al.
Paper/Code
01 2015 ICCV Oriented Object Proposals
Shengfeng He, Rynson W. H. Lau
Paper/Code

Instance Segmentation

Year Pub. Title Authors Links
2021 TCYB Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images Tianyang Zhang, Licheng Jiao, et al. Paper/Code
2020 CVPR Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery Zhuo Zheng, et al. Paper/Code

Small Object Detection

Year Pub. Title Links
2022 JPRS Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
Chang Xu, Jinwang Wang, Wen Yang, Huai Yua, Lei Yua, Gui-SongXi
Paper/Code
2022 ECCV RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection
Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia
Paper/Code
2022 arXiv Towards Large-Scale Small Object Detection: Survey and Benchmarks
Gong Cheng, Xiang Yuan, Xiwen Yao, Kebing Yan, Qinghua Zeng, Junwei Han
Paper/Data
2022 CVPR QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
Chenhongyi Yang, Zehao Huang, Naiyan Wang
Paper/Code
-- -- -- --
2021 arXiv07 A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
Muhammed Muzammul, Xi Li
Paper/Code
2021 TMM Extended Feature Pyramid Network for Small Object Detection
Chunfang Deng, et al.
Paper/Code
2021 TMM CrossNet: Detecting Objects as Crosses
Jiaxu Leng, Xinbo Gao, et al.
Paper/Code
2021 CVPR Dot distance for tiny object detection in aerial images
Chang Xu, Jinwang Wang, Wen Yang, Lei Yu
Paper/Code
2021 CVPR Dogfight: Detecting Drones from Drones Videos
M. Ashraf, W. Sultani, Mubarak Shah
Paper/Code
2021 WACV Effective Fusion Factor in FPN for Tiny Object Detection
Yuqi Gong, Zhenjun Han, et al.
Paper/Code
--- --- ---
2020 IJCV Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild
Yongqiang Zhang, Yancheng Bai, et al.
Paper/CVPR18
ECCV18/Code
2020 TCYB Context-Aware Block Net for Small Object Detection
Lisha Cui, et al.
Paper/Code
2020 MM CODAN: Counting-driven Attention Network for Vehicle Detection in Congested Scenes
Wei Li, et al.
Paper/Code
--- --- ---
2019 arXiv02 Augmentation for small object detection
Mate Kisantal, et al.
Paper/Code
2019 TCSVT Detecting Small Objects Using a Channel-Aware Deconvolutional Network
Kaiwen Duan, Dawei Du, et al.
Paper/Code
2019 TGRS R2 -CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images
J. Pang, Jianping Shi, et al.
Paper/Code
2019 ICCV Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection
Junhyug Noh, et al.
Paper/Code
2019 ICCV Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images
Huan Wang, Luping Zhou, Lei Wang
Paper/Code
2019 MM Small and Dense Commodity Object Detection with Multi-Receptive Field Attention
Zhong Ji, Yanwei Pang, et al.
Paper/Code
--- --- ---
2018 CVPR Finding Tiny Faces in the Wild With Generative Adversarial Network
Yancheng Bai, Bernard Ghanem, et al.
Paper/Code
2017 ICCV Focal Loss for Dense Object Detection
Tsung-Yi, Kaiming He, et al.
Paper/Code
2017 CVPR Perceptual Generative Adversarial Networks for Small Object Detection
Jianan Li, Tingfa Xu, et al.
Paper/Code

UAV Object Detection

Year Pub. Title Authors Links
2021 CVPR Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark Longyin Wen, Dawei Du, et al. Paper/Code
--- --- --- ---
2020 arXiv Vision Meets Drones: Past, Present and Future Pengfei Zhu, Dawei Du, et al. Paper/Code
2020 IJCV The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline Hongyang Yu, Dawei Du, et al. Paper/Proj
ECCV18
2020 MM MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos M. Mandal, Lav Kumar, S. Vipparthi Paper/Code
2020 MM Guided Attention Network for Object Detection and Counting on Drones  Y. Cai, Dawei Du, et al.  Paper/Code

Dataset

Year Name Paper Pub.
2022 SODA Towards Large-Scale Small Object Detection: Survey and Benchmarks [OBB] Paper
2021 FAIR1M FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery [OBB] arXiv
Intro-ch
2021 SaRNet SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery [HBB] arXiv
2021 AI-TOD Tiny Object Detection in Aerial Images [HBB] ICPR
2019 DIOR Object detection in optical remote sensing images: A survey and a new benchmark [HBB] ISPRSJ
2019 iSAID iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images CVPRW
2019 HRRSD Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection TGRS
2019 VRAI Vehicle Re-identification in Aerial Imagery: Dataset and Approach ICCV
2019 ITCVD Vehicle Detection in Aerial Images PERS
2019 AerialElephant The Aerial Elephant Dataset: A New Public Benchmark for Aerial Object Detection CVPRW
2018 DOTA DOTA: A Large-Scale Dataset for Object Detection in Aerial Images CVPR/Kit
2018 xView xView: Objects in Context in Overhead Imagery [HBB] arXiv/Kit
2018 VisDrone Vision Meets Drones: Past, Present and Future [HBB] arXiv/Data
2018 LPODC DAC-SDC Low Power Object Detection Challenge for UAV Applications [HBB] PAMI
2018 UAVDT The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking ECCV
2016 NWPUVHR-10 Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images TGRS
2016 RSOD Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks TGRS
2016 HRSC2016 A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines ICPRAM
Kaggle
2015 VEDAI Vehicle Detection in Aerial Imagery: A small target detection benchmark JVCIR
2014 UCAS-AOD Orientation robust object detection in aerial images using deep convolutional neural network ICIP

Appendix

GOD

Year Pub. Title Authors Links
2021 arXiv09 Progressive Hard-case Mining across Pyramid Levels in Object Detection Binghong Wu, et al. Paper/Code
2021 arXiv04 Slender Object Detection: Diagnoses and Improvements Zhaoyi Wan, Yimin Chen, et al. Paper/Code
2021 arXiv01 Focal and Efficient IOU Loss for Accurate Bounding Box Regression Yi-Fan Zhang, Liang Wang, et al. Paper/Code
2021 NeurIPS You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection Yuxin Fang, Xinggang Wang, et al. Paper/Code
2021 PAMI Scale Normalized Image Pyramids with AutoFocus for Object Detection Bharat Singh, Mahyar Najibi, et al. Paper/Code
2021 IJCV Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion Adam Kortylewski, et al. Paper/Code
2021 IJCV Scale-Aware Domain Adaptive Faster R-CNN Y. Chen, D. Dai, Luc Van Gool, et al. Paper/Code
2021 IJCV Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification S. Zhang, Di Chen, Jian Yang, Bernt Schiele Paper/Code
2021 ICCV SOTR: Segmenting Objects With Transformers Ruohao Guo, Dantong Niu, Liao Qu, Zhenbo Li Paper/Code
2021 ICCV Dynamic DETR: End-to-End Object Detection With Dynamic Attention Xiyang Dai, Lu Yuan; Lei Zhang, et al. Paper/Code
2021 ICCV CrossDet: Crossline Representation for Object Detection Heqian Qiu, Hongliang Li, et al. Paper/Code
2021 CVPR UP-DETR: Unsupervised Pre-training for Object Detection with Transformers Z. Dai, J. Chen, et al. Paper/Code
2021 CVPR Adaptive Image Transformer for One-Shot Object Detection Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu Paper/Code
2021 CVPR Scale-aware Automatic Augmentation for Object Detection Yukang Chen, Jiaya Jia, et al. Paper/Code
2021 CVPR Sparse R-CNN: End-to-End Object Detection with Learnable Proposals Peize Sun, Ping Luo, et al. Paper/Code
arXiv
2021 ICLR Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu, Xiaogang Wang, Jifeng Dai, et al. Paper/Code
2021 ICLR On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym, Haggai Maron Paper/Code
2021 AAAI Rethinking Object Detection in Retail Stores Yuanqiang Cai, Dawei Du, etc Paper/Code
--- --- --- ---
2020 NeurIPS RepPoints V2: Verification Meets Regression for Object Detection Yihong Chen, Zheng Zhang, et al. Paper/Code
2020 TIP Self-Supervised Feature Augmentation for Large Image Object Detection Xingjia Pan, et al. Paper/Code
2020 ECCV End-to-End Object Detection with Transformers DETR Carion N, et al. Paper/Code
2020 ECCV Learning Data Augmentation Strategies for Object Detection Barret Zoph, Quoc V. Le, et al. Paper/Code
2020 ECCV Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes Chenhongyi Yang, et al. Paper/Code
--- --- --- ---
2019 IJCV CornerNet: Detecting Objects as Paired Keypoints Hei Law, Jia Deng Paper/arXiv
ECCV18/Code
2019 IJCV Corner Detection Using Multi-directional Structure Tensor with Multiple Scales Weichuan Zhang, Changming Sun Paper/Code
2019 IJCV Hierarchical Attention for Part-Aware Face Detection Shuzhe Wu, Meina Kan, Shiguang Shan, Xilin Chen Paper/Code
2019 TIP Combining Faster R-CNN and Model-Driven Clustering for Elongated Object Detection Fen Fang, et al. Paper/Code
2019 arXiv Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods Luca Della Libera, Daniel Cremers, et al. Paper/Code
2019 ICCV AutoFocus: Efficient Multi-Scale Inference Mahyar Najibi, Bharat Singh, Larry S. Davis Paper/Code
2019 ICCV Scale-Aware Trident Networks for Object Detection Yanghao Li, Naiyan Wang, et al. Paper/Code
2019 ICCV RepPoints: Point Set Representation for Object Detection Ze Yang, Han Hu, et al. Paper/Code
2019 CVPR Self-Supervised Representation Learning by Rotation Feature Decoupling Zeyu Feng, Chang Xu, Dacheng Tao Paper/Code
2019 ICLR A rotation-equivariant convolutional neural network model of primary visual cortex Alexander S. Ecker, et al. Paper/Code
2019 ICLR RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng, et al. Paper/Code
--- --- --- ---
2018 PAMI Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks Luc Van Gool, et al. Paper/Code
2018 TIP Joint Hand Detection and Rotation Estimation Using CNN Xiaoming Deng, et al. Paper/Code
2018 ECCV Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd Shifeng Zhang, et al. Paper/Code
2018 ECCV SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection Yonghyun Kim, et al. Paper/Code
2018 NeurIPS SNIPER: Efficient Multi-Scale Training Bharat Singh, Mahyar Najibi, Larry S. Davis Paper/Code
2018 CVPR An Analysis of Scale Invariance in Object Detection - SNIP Bharat Singh, Larry S. Davis Paper/Code
2018 ICLR Unsupervised Representation Learning by Predicting Image Rotations  S. Gidaris, P. Singh, et al.  Paper/Code

Arbitrarily-Oriented Text Detection

Year Pub. Title Authors Links
2021 ICCV Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection Shi-Xue Zhang, et al. Paper/Code
2021 PAMI PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text Wenhai Wang, et al. Paper/Code
2021 PAMI Towards End-to-End Text Spotting in Natural Scenes Peng Wang, Hui Li, Chunhua Shen Paper/Code
2021 PAMI Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes Minghui Liao, Pengyuan Lyu, et al. Paper/ECCV18
2021 IJCV Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection Yuliang Liu, Chunhua Shen, et al. Paper/Code
2021 TIP Arbitrarily Shaped Scene Text Detection With a Mask Tightness Text Detector Yuliang Liu, Lianwen Jin, Chuanming Fang Paper/Code
2021 TIP SLOAN: Scale-Adaptive Orientation Attention Network for Scene Text Recognition Pengwen Dai, Hua Zhang, Xiaochun Cao Paper/Code
2021 MM Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection Xugong Qin, Yu Zhou, et al. Paper/Code
2021 CVPR Fourier Contour Embedding for Arbitrary-Shaped Text Detection Yiqin Zhu, Lianwen Jin, et al. Paper/Code
2021 CVPR Progressive Contour Regression for Arbitrary-Shape Scene Text Detection Pengwen Dai, et al. Paper/Code
2021 CVPR MOST: A Multi-Oriented Scene Text Detector with Localization Refinement Minghang He, Xiang Bai, et al. Paper/Code
2021 AAAI MANGO: A Mask Attention Guided One-Stage Scene Text Spotter Liang Qiao, Ying Chen, et al. Paper/Code
2021 AAAI PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network Pengfei Wang, et al. Paper/Code
--- --- --- ---
2020 TIP ASTS: A Unified Framework for Arbitrary Shape Text Spotting Juhua Liu, Zhe Chen, Bo Du, Dacheng Tao Paper/Code
2020 TIP Text Co-Detection in Multi-View Scene Chuan Wang, Huazhu Fu, et al. Paper/Code
2020 ECCV Character Region Attention For Text Spotting Youngmin Baek, et al. Paper/Code
2020 CVPR ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection Yuxin Wang, Zilong Fu, et al. Paper/Code
2020 CVPR Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection Shi-Xue Zhang, et al. Paper/Code
2020 AAAI Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting Liang Qiao, et al. Paper/Code
2020 AAAI All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting Hao Wang, Xiang Bai, et al. Paper/Code
--- --- --- ---
2019 ICCV Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network Wenhai Wang, et al. Paper/Code
2019 ICCV TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting Wei Feng, Cheng-Lin Liu, et al. Paper/Code
2019 CVPR Learning Shape-Aware Embedding for Scene Text Detection Zhuotao Tian, Jiaya Jia, et al. Paper/Code
2019 CVPR Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation Xiaobing Wang, Cheng-Lin Liu, et al. Paper/Code
2019 CVPR Towards Robust Curve Text Detection with Conditional Spatial Expansion Zichuan Liu, Guosheng Lin, et al. Paper/Code
2019 CVPR Shape Robust Text Detection with Progressive Scale Expansion Network Wenhai Wang, , Tong Lu, et al. Paper/Code
2019 CVPR Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes Chengquan Zhan, et al. Paper/Code
--- --- --- ---
2018 TIP Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression Wenhao He, Cheng-Lin Liu, et al.
2018 TIP TextBoxes++: A Single-Shot Oriented Scene Text Detector Minghui Liao, Baoguang She, Xiang Bai
2018 TMM Arbitrary-Oriented Scene Text Detection via Rotation Proposals Jianqi Ma, et al. Paper/Code
2018 ECCV TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes Shangbang Long, Jiaqiang Ruan, et al.
2018 CVPR Geometry-Aware Scene Text Detection with Instance Transformation Network Fangfang Wang, et al. Paper/Code
2018 CVPR Rotation-Sensitive Regression for Oriented Scene Text Detection Minghui Liao, Xiang Bai, et al.
2018 CVPR AON: Towards Arbitrarily-Oriented Text Recognition
2018 CVPR FOTS: Fast Oriented Text Spotting With a Unified Network
2018 CVPR Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
--- --- --- ---
2017 TIP Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming Chun Yang, Junchi Yan, et al.
2017 ICCV Deep Direct Regression for Multi-Oriented Scene Text Detection
2017 ICCV Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework M. Busta, L. Neumann, Jiri Matas  Paper/Code
2017 CVPR Deep Matching Prior Network: Toward Tighter Multi-oriented Text Detection  Yuliang Liu, Lianwen Jin Paper/Code

Related Resources

  • Awesome Tiny Object Detection
  • Awesome Semantic Understanding for Aerial Scene

参考:visionxiang/awesome-object-detection-in-aerial-images: A curated list of awesome resources for generic object detection in aerial images. (github.com) 文章来源地址https://www.toymoban.com/news/detail-448421.html

到了这里,关于【论文合集】Awesome Object Detection in Aerial Images的文章就介绍完了。如果您还想了解更多内容,请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章,希望大家以后多多支持TOY模板网!

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处: 如若内容造成侵权/违法违规/事实不符,请点击违法举报进行投诉反馈,一经查实,立即删除!

领支付宝红包 赞助服务器费用

相关文章

  • 论文解读:Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

    发布时间:2022.4.4 (2021发布,进过多次修订) 论文地址:https://arxiv.org/pdf/2112.08088.pdf 项目地址:https://github.com/wenyyu/Image-Adaptive-YOLO 虽然基于深度学习的目标检测方法在传统数据集上取得了很好的结果,但从在恶劣天气条件下捕获的低质量图像中定位目标仍然具有挑战性。现有

    2024年02月11日
    浏览(30)
  • 【论文合集】Awesome Transfer Learning

    目录 Papers (论文) 1.Introduction and Tutorials (简介与教程) 2.Transfer Learning Areas and Papers (研究领域与相关论文) 3.Theory and Survey (理论与综述) 4.Code (代码) 5.Transfer Learning Scholars (著名学者) 6.Transfer Learning Thesis (硕博士论文) 7.Datasets and Benchmarks (数据集与评测结果) 8.Transfer Learning Challen

    2024年02月06日
    浏览(75)
  • 论文阅读<GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions>

            这篇文章是在2022年AAAI上发表的一篇文章IA-YOLO上进行改进的,基本思想是一致的,利用的相机ISP的pipeline进行图像增强,和YOLOv3进行联合训练。 论文链接:[2209.14922] GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions (arxiv.org) 代码链接:GitHub - Gate

    2024年02月04日
    浏览(29)
  • 论文阅读RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection

    论文:https://arxiv.org/pdf/2103.10039.pdf 代码:https://github.com/tusen-ai/RangeDet 提出了一个名为RangeDet的新型3D物体检测技术,利用激光雷达数据。 RangeDet的核心在于使用了一种紧凑的表示方法,称为范围视图,与其他常用方法相比,它避免了计算误差。 根据论文中的讨论,使用范围视

    2024年04月13日
    浏览(38)
  • 【论文合集】Awesome Low Level Vision

    Low-level任务:常见的包括 Super-Resolution,denoise, deblur, dehze, low-light enhancement, deartifacts等。简单来说,是把特定降质下的图片还原成好看的图像,现在基本上用end-to-end的模型来学习这类 ill-posed问题的求解过程,客观指标主要是PSNR,SSIM,大家指标都刷的很高。目前面临以

    2024年02月08日
    浏览(37)
  • 【3D目标检测】3D Object Detection from Images for Autonomous Driving: A Survey

    这是一篇22年的综述,介绍了3D目标检测中基于图像的检测算法。 背景: 基于图像的3D目标检测是一个病态的问题,因为我们要做的是从2D的输入中得到一个3D的结果。 相关性: 基于图像的3D目标检测通常会与很多任务,如2D目标检测、深度估计、立体匹配和基于点云的3D目标

    2024年02月08日
    浏览(35)
  • 论文阅读——CRNet: Channel-Enhanced Remodeling-Based Network for Salient Object Detection in Optical

    这篇是老师发的,主要是用来解决遥感显著性检测的边缘问题 期刊 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 年份 2023 论文地址 https://ieeexplore.ieee.org/abstract/document/10217013 代码地址 https://github.com/hilitteq/CRNet.git CRNet:一种基于网格增强重构的光学遥感图像显著目标检测网络 除了它

    2024年02月03日
    浏览(34)
  • 论文精读《BEVDet: High-Performance Multi-Camera 3D Object Detection in Bird-Eye-View》

    背景介绍:二维的目标检测算法启发我们去寻找一个高效可用的三维目标检测算法 自动驾驶通过感知周围环境来做出决定,这是视觉领域中最复杂的场景之一。范式创新在解决二维目标检测中的成功激励着我们去寻找一个简练的、可行的、可扩展的范例,从根本上推动该领域

    2024年01月18日
    浏览(35)
  • 【CV论文精读】【BEV感知】BEVDet: High-Performance Multi-Camera 3D Object Detection in Bird-Eye-View

    【CV论文精读】【BEV感知】BEVDet: High-Performance Multi-Camera 3D Object Detection in Bird-Eye-View BEVDet:鸟瞰下的高性能多摄像机三维目标检测 自动驾驶感知周围环境进行决策,这是视觉感知中最复杂的场景之一。范式创新在解决2D目标检测任务中的成功激励我们寻求一种优雅、可行和可

    2024年02月22日
    浏览(35)
  • DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

    DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries 本文提出了一个 仅使用 2D 信息的,3D 目标检测网络,并且比依赖与 密集的深度预测 或者 3D 重建的过程。该网络使用了 和 DETR 相似的 trasformer decoder ,因此也无需 NMS 等后处理操作。 长久以来 3D目标检测是一个挑战,并

    2024年02月16日
    浏览(34)

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

博客赞助

微信扫一扫打赏

请作者喝杯咖啡吧~博客赞助

支付宝扫一扫领取红包,优惠每天领

二维码1

领取红包

二维码2

领红包