多模态情绪分析论文
Year | Title | Network | Publish | Paper | Code | Read |
---|---|---|---|---|---|---|
2019 | Multimodal Transformer for Unaligned Multimodal Language Sequences | MulT | ACL | link | link | √ |
2020 | CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis | CM-BERT | ACM MM | link | link | √ |
2020 | Integrating Multimodal Information in Large Pretrained Transformers | MAG | ACL | link | link | √ |
2020 | MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis | MISA | ACM MM | link | link | √ |
2021 | Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis | BBFN | ICMI | link | link | |
2021 | CTNet: Conversational Transformer Network for Emotion Recognition | CTNet | IEEE-ACM T AUDIO SPE | link | - | |
2021 | Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis | HyCon | Under Review | link | - | √ |
2021 | Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis | MMIM | EMNLP | link | link | |
2021 | Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis | Self-MM | AAAI | link | link | √ |
2021 | MSAF: Multimodal Split Attention Fusion | MSAF | Under Review | link | - | √ |
2022 | AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis | AMOA | COLING | link | - | √ |
2022 | BAFN: Bi-direction Attention based Fusion Network for Multimodal Sentiment Analysis | BAFN | TCSVT | link | - | |
2022 | CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection | CLMLF | NAACL | link | link | |
2022 | Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis | CLUE | ACM MM | link | link | √ |
2022 | CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation | CubeMLP | ACM MM | link | - | √ |
2022 | Disentangled Representation Learning for Multimodal Emotion Recognition | FDMER | ACM MM | link | - | |
2022 | Dynamically Adjust Word Representations Using Unaligned Multimodal Information | CHFN | ACM MM | link | - | |
2022 | EmoCaps: Emotion Capsule based Model for Conversational Emotion Recognition | EmoCaps | ACL | link | - | √ |
2022 | FEW-SHOT MULTIMODAL SENTIMENT ANALYSIS BASED ON MULTIMODAL PROBABILISTIC FUSION PROMPTS | MultiPoint | Under Review | link | link | |
2022 | Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition | RILA | ACM MM | link | - | |
2022 | M-SENA: An Integrated Platform for Multimodal Sentiment Analysis | M-SENA | ACL | link | link | √ |
2022 | Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis | MMCL | EMNLP | link | - | |
2022 | Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations | MIB | TMM | link | link | |
2022 | MULTIMODAL SENTIMENT ANALYSIS ON UNALIGNED SEQUENCES VIA HOLOGRAPHIC EMBEDDING | HEMT | ICASSP | link | - | |
2022 | Multimodal Temporal Attention in Sentiment Analysis | MMTA | ACM MM | link | - | |
2022 | TVLT: Textless Vision-Language Transformer | TVLT | NeurIPS | link | link | √ |
2022 | Unified Multi-modal Pre-training for Few-shot Sentiment Analysis with Prompt-based Learning | UP-MPF | ACM MM | link | link | √ |
2022 | UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition | UniMSE | EMNLP | link | link | √ |
2023 | A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis | DMLANet | ACM MM | link | - | |
2023 | PS-Mixer: A Polar-Vector and Strength-Vector Mixer Model for Multimodal Sentiment Analysis | PS-Mixer | IPM | link | link |
多模态情绪分析模态缺失论文
Year | Title | Network | Publish | Paper | Code | Read |
---|---|---|---|---|---|---|
2021 | CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network | CTFN | ACL | link | link | √ |
2021 | Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities | MMIN | ACL | link | link | √ |
2021 | Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis | TFR-Net | ACM MM | link | link | √ |
2022 | Analyzing Modality Robustness in Multimodal Sentiment Analysis | - | NAACL | link | link | √ |
2022 | Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis | EMT-DLFR | Under Review | link | - | |
2022 | EXPLOITING MODALITY-INVARIANT FEATURE FOR ROBUST MULTIMODAL EMOTION RECOGNITION WITH MISSING MODALITIES | IF-MM | ICASSP | link | link | √ |
2022 | Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities | EMMR | EMNLP | link | link | √ |
2022 | MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences | MM-Align | EMNLP | link | link | √ |
2022 | Robust Multimodal Sentiment Analysis via Tag Encoding of Uncertain Missing Modalities | TATE | TMM | link | link | √ |
2023 | GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation | GCNet | TPAMI | link | link | √ |
文章来源地址https://www.toymoban.com/news/detail-738966.html
文章来源:https://www.toymoban.com/news/detail-738966.html
到了这里,关于Multimodal Sentiment Analysis论文汇总的文章就介绍完了。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!