Research map / Vision-language and multimodal / Cross-modal learning
Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use TAILOR instead of HHMPN | CMU-MOSEI aligned · CMU-MOSEI aligned | Acc: 0.459 -> 0.488 | Helped |
| Use TAILOR instead of MulT | CMU-MOSEI aligned · CMU-MOSEI aligned | P: 0.619 -> 0.641 | Helped |
| Use TAILOR instead of MISA | CMU-MOSEI aligned · CMU-MOSEI aligned | R: 0.582 -> 0.512 | Hurt |
| Use TAILOR instead of HHMPN | CMU-MOSEI aligned · CMU-MOSEI aligned | Micro-F1: 0.556 -> 0.569 | Helped |
| Use TAILOR instead of HHMPN | CMU-MOSEI unaligned · CMU-MOSEI unaligned | Acc: 0.434 -> 0.460 | Helped |
| Use TAILOR instead of MulT | CMU-MOSEI unaligned · CMU-MOSEI unaligned | P: 0.636 -> 0.639 | Helped |
| Use TAILOR instead of MISA | CMU-MOSEI unaligned · CMU-MOSEI unaligned | R: 0.571 -> 0.452 | Hurt |
| Use TAILOR instead of HHMPN | CMU-MOSEI unaligned · CMU-MOSEI unaligned | Micro-F1: 0.528 -> 0.529 | Helped |
| Add AMR (ablation) | TAILOR · CMU-MOSEI aligned | Acc: 0.446 -> 0.488 | Helped |
| Add orthogonal loss to adversarial loss (ablation) | TAILOR AMR · CMU-MOSEI aligned | Acc: 0.432 -> 0.462 | Helped |
| Use common and private representations together rather than either alone (ablation) | TAILOR · CMU-MOSEI aligned | Acc: 0.458, 0.449 -> 0.488 | Helped |
| Change HCME fusion order to [v,t,a,c] or [a,t,v,c] (ablation) | TAILOR · CMU-MOSEI aligned | Acc: 0.465, 0.470 -> 0.488 | Hurt |
Closest papers by meaning
- CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition (AAAI 2024 · similarity 0.92)
- Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning (AAAI 2025 · similarity 0.89)
- EMOE: Modality-Specific Enhanced Dynamic Emotion Experts (CVPR 2025 · similarity 0.88)
- Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition (AAAI 2025 · similarity 0.86)
- OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition (ICML 2025 · similarity 0.86)
- MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding (ICML 2025 · similarity 0.86)
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