Emotion Detection on MELD (test)
0.699Weighted-F1ELR-GCN
Evaluation Results
| Method | Links | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ELR-GCN2024.06 | 0.699 | — | 0.802 | 0.836 | 0.368 | 0.354 | 0.192 | 0.131 | 0.802 | 0.836 | 0.765 | 0.697 | 0.556 | 0.13 | 0.521 | 0.577 | 0.687 | — | — | |
| TelME2024.01 | 0.6737 | — | 0.8022 | — | 0.6033 | — | 0.2697 | — | 0.4345 | — | 0.6567 | — | 0.2642 | — | 0.567 | — | — | — | — | |
| M2FNet2024.01 | 0.6671 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FacialMMT2024.01 | 0.6658 | — | 0.8013 | — | 0.5963 | — | 0.1918 | — | 0.4199 | — | 0.6488 | — | 0.1818 | — | 0.56 | — | — | — | — | |
| DER-GCN2024.06 | 0.661 | — | 0.768 | 0.806 | 0.505 | 0.51 | 0.148 | 0.104 | 0.567 | 0.415 | 0.693 | 0.643 | 0.172 | 0.103 | 0.525 | 0.574 | 0.668 | — | — | |
| LR-GCN2024.06 | 0.656 | — | 0.767 | 0.8 | 0.533 | 0.552 | 0 | 0 | 0.496 | 0.351 | 0.68 | 0.644 | 0.107 | 0.027 | 0.48 | 0.51 | 0.657 | — | — | |
| UniMSE2024.01 | 0.6551 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COMPM2024.06 | 0.653 | — | 0.783 | 0.82 | 0.483 | 0.492 | 0.017 | 0.029 | 0.359 | 0.323 | 0.714 | 0.615 | 0.031 | 0.028 | 0.422 | 0.458 | 0.641 | — | — | |
| EmoBERTa2024.06 | 0.652 | — | 0.789 | 0.825 | 0.502 | 0.502 | 0.018 | 0.019 | 0.333 | 0.312 | 0.721 | 0.617 | 0.031 | 0.025 | 0.433 | 0.464 | 0.641 | — | — | |
| EmoCaps2024.01 | 0.64 | — | 0.7712 | — | 0.6319 | — | 0.0303 | — | 0.4252 | — | 0.575 | — | 0.0769 | — | 0.5754 | — | — | — | — | |
| DAG-ERC2024.01 | 0.6365 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogueTRM2024.01 | 0.635 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RGAT2024.06 | 0.611 | — | 0.76 | 0.781 | 0.401 | 0.415 | 0.03 | 0.024 | 0.321 | 0.307 | 0.681 | 0.586 | 0.045 | 0.022 | 0.4 | 0.446 | 0.603 | — | — | |
| A-DMN2024.06 | 0.604 | — | 0.765 | 0.789 | 0.562 | 0.553 | 0.082 | 0.086 | 0.221 | 0.249 | 0.598 | 0.574 | 0.012 | 0.034 | 0.413 | 0.409 | 0.615 | — | — | |
| MM-DFN2024.01 | 0.5946 | — | 0.7776 | — | 0.5069 | — | — | — | 0.2294 | — | 0.5478 | — | — | — | 0.4782 | — | — | — | — | |
| ConGCN2024.01 | 0.594 | — | 0.767 | — | 0.503 | — | 0.087 | — | 0.285 | — | 0.531 | — | 0.106 | — | 0.468 | — | — | — | — | |
| GA2MIF2024.01 | 0.5894 | — | 0.7692 | — | 0.4908 | — | — | — | 0.2718 | — | 0.5187 | — | — | — | 0.4852 | — | — | — | — | |
| ConGCN2024.06 | 0.587 | — | 0.468 | 0.454 | 0.106 | 0.088 | 0.087 | 0.081 | 0.531 | 0.546 | 0.767 | 0.752 | 0.285 | 0.263 | 0.503 | 0.484 | 0.594 | — | — | |
| MMGCN2024.01 | 0.5865 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KET2019.09 | 0.5818 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogueRNN2024.01 | 0.5703 | — | 0.735 | — | 0.494 | — | 0.012 | — | 0.238 | — | 0.507 | — | 0.017 | — | 0.415 | — | — | — | — | |
| CNN+cLSTM2019.09 | 0.5687 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KET_StdAttn2019.09 | 0.5682 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DialogueRNNSpeaker Selection=6 main + 1 universal2019.09 | 0.5627 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KET_SingleSelfAttn2019.09 | 0.5624 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BERT_BASE2019.09 | 0.5621 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| bc-LSTM2024.06 | 0.559 | — | 0.784 | 0.738 | 0.468 | 0.477 | 0.038 | 0.054 | 0.224 | 0.251 | 0.516 | 0.513 | 0.043 | 0.052 | 0.367 | 0.384 | 0.575 | — | — | |
| DialogueRNN2024.06 | 0.559 | — | 0.721 | 0.735 | 0.544 | 0.494 | 0.016 | 0.012 | 0.239 | 0.238 | 0.52 | 0.507 | 0.015 | 0.017 | 0.41 | 0.415 | 0.561 | — | — | |
| CNN2019.09 | 0.5586 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TextCNN2024.06 | 0.55 | — | 0.762 | 0.749 | 0.433 | 0.455 | 0.046 | 0.037 | 0.182 | 0.211 | 0.461 | 0.494 | 0.089 | 0.083 | 0.353 | 0.345 | 0.563 | — | — | |
| DialogueGCN2024.06 | 0.547 | — | 0.703 | 0.721 | 0.424 | 0.417 | 0.03 | 0.028 | 0.209 | 0.218 | 0.447 | 0.442 | 0.065 | 0.067 | 0.39 | 0.365 | 0.549 | — | — | |
| cLSTM2019.09 | 0.4972 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BC-LSTMcontextual information=true, speaker information=false2020.10 | — | — | — | 0.76 | — | 0.48 | — | 0 | — | 0.16 | — | 0.5 | — | 0 | — | 0.46 | — | — | — | |
| BERT2023.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 0.6131 | |
| BiF-AGRUContext=Bidirectional, Gated Memory=Attention Gated RU2019.11 | — | 0.385 | 81.6 | 0.755 | 50.5 | 0.49 | 8 | 0.104 | 22.3 | 0.269 | 51.7 | 0.517 | 13.7 | 0.172 | 34.5 | 0.386 | 59.5 | 0.575 | — | |
| BiF-BiAGRUContext=Bidirectional, Gated Memory=Bidirectional Attention Gated RU2019.11 | — | 0.375 | 80.7 | 0.754 | 50.7 | 0.479 | 7.2 | 0.1 | 20.9 | 0.263 | 53.9 | 0.521 | 10.4 | 0.128 | 33.9 | 0.381 | 59.2 | 0.571 | — | |
| CGCNcontextual information=true, speaker information=true2020.10 | — | — | — | 0.77 | — | 0.5 | — | 0.09 | — | 0.28 | — | 0.53 | — | 0.11 | — | 0.47 | — | — | — | |
| CNN2019.11 | — | 0.339 | — | 0.749 | — | 0.455 | — | 0.037 | — | 0.211 | — | 0.494 | — | 0.083 | — | 0.345 | — | 0.55 | — | |
| DialogueRNNDirectionality=Unidirectional2019.11 | — | 0.345 | 72.1 | 0.735 | 54.4 | 0.494 | 1.6 | 0.012 | 23.9 | 0.238 | 52 | 0.507 | 1.5 | 0.017 | 41.9 | 0.415 | 56.1 | 0.559 | — | |
| DRNNcontextual information=true, speaker information=false2020.10 | — | — | — | 0.73 | — | 0.52 | — | 0 | — | 0.25 | — | 0.53 | — | 0 | — | 0.46 | — | — | — | |
| G-MFNcontextual information=false, speaker information=false2020.10 | — | — | — | 0.76 | — | 0.41 | — | 0 | — | 0.13 | — | 0.47 | — | 0 | — | 0.4 | — | — | — | |
| HiDialogencoder=RoBERTa2023.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 0.6696 | |
| MATcontextual information=false, speaker information=false2020.10 | — | — | — | 0.63 | — | 0.44 | — | 0.09 | — | 0.22 | — | 0.42 | — | 0.15 | — | 0.27 | — | — | — | |
| MNTcontextual information=false, speaker information=false2020.10 | — | — | — | 0.66 | — | 0.46 | — | 0.12 | — | 0.24 | — | 0.41 | — | 0.21 | — | 0.27 | — | — | — | |
| NTcontextual information=false, speaker information=false2020.10 | — | — | — | 0.54 | — | 0.41 | — | 0.05 | — | 0.21 | — | 0.39 | — | 0.11 | — | 0.25 | — | — | — | |
| RoBERTaencoder=RoBERTa2023.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 0.6419 | |
| scLSTMDirectionality=Unidirectional2019.11 | — | 0.353 | 78.4 | 0.738 | 46.8 | 0.477 | 3.8 | 0.054 | 22.4 | 0.251 | 51.6 | 0.513 | 4.3 | 0.052 | 36.7 | 0.384 | 57.5 | 0.559 | — | |
| TUCORE-GCN2023.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 0.6536 | |
| UniF-AGRUContext=Unidirectional, Gated Memory=Attention Gated RU2019.11 | — | 0.38 | 80.3 | 0.751 | 53.7 | 0.491 | 9.8 | 0.106 | 19.7 | 0.255 | 50.5 | 0.511 | 14 | 0.164 | 33.9 | 0.382 | 58.8 | 0.57 | — | |
| UniF-BiAGRUContext=Unidirectional, Gated Memory=Bidirectional Attention Gated RU2019.11 | — | 0.386 | 83.4 | 0.764 | 49.1 | 0.497 | 9.2 | 0.115 | 21.6 | 0.27 | 52.4 | 0.524 | 12.2 | 0.14 | 34.9 | 0.394 | 60.3 | 0.581 | — |