Action Segmentation On 50 Salads 1
評価指標
Acc
Edit
F1@10%
F1@25%
F1@50%
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | Acc | Edit | F1@10% | F1@25% | F1@50% |
|---|---|---|---|---|---|
| efficient-temporal-action-segmentation-via | 89.5 | 84.2 | 89.3 | 88.4 | 83.9 |
| asformer-transformer-for-action-segmentation | 85.9 | 81.9 | 85.1 | 85.4 | 79.3 |
| sf-tmn-slowfast-temporal-modeling-network-for | 89.8 | 84.4 | 89.1 | 88.0 | 82.9 |
| alleviating-over-segmentation-errors-by | 84.5 | 79.3 | 84.9 | 83.5 | 77.3 |
| action-segmentation-with-joint-self | 83.2 | 75.8 | 83.0 | 81.5 | 73.8 |
| efficient-u-transformer-with-boundary-aware | 87.4 | 82.9 | 89.2 | 87.5 | 81 |
| how-much-temporal-long-term-context-is-needed | 87.7 | 83.2 | 89.4 | 87.7 | 82.0 |
| cross-enhancement-transformer-for-action | 86.9 | 81.7 | 87.6 | 86.5 | 80.1 |
| ms-tcn-multi-stage-temporal-convolutional | 80.7 | 67.9 | 76.3 | 74.0 | 64.5 |
| action-segmentation-with-mixed-temporal | 83.2 | 75.2 | 82.0 | 80.1 | 72.5 |
| ms-tcn-multi-stage-temporal-convolutional-2 | 82.2 | 70.7 | 78.7 | 76.6 | 68.3 |
| depthwise-separable-temporal-convolutional | 80.0 | 70.0 | 77.0 | 74.43 | 65.78 |
| temporal-relational-modeling-with-self | 80 | 72 | 79.1 | 75.9 | 66.1 |
| unified-fully-and-timestamp-supervised | 87.4 | 83.9 | 89.1 | 87.6 | 81.7 |
| global2local-efficient-structure-search-for | 82.2 | 73.4 | 80.3 | 78 | 69.8 |
| efficient-two-step-networks-for-temporal | 82.0 | 78.8 | 85.2 | 83.9 | 75.4 |
| coarse-to-fine-multi-resolution-temporal | 84.9 | 76.4 | 84.3 | 81.8 | 72.6 |
| boundary-aware-cascade-networks-for-temporal | 84.4 | 74.3 | 82.3 | 81.3 | 74 |
| aspnet-action-segmentation-with-shared | 91.4 | 87.5 | 92.7 | 91.6 | 88.5 |
| is-weakly-supervised-action-segmentation | 77.9 | 77.0 | 84.4 | 81.3 | 67.1 |
| diffusion-action-segmentation | 88.9 | 85.0 | 90.1 | 89.2 | 83.7 |
| temporally-weighted-hierarchical-clustering | 66.5 | - | - | - | - |
| asformer-transformer-for-action-segmentation | 85.6 | 79.6 | 85.1 | 83.4 | 76.0 |
| maximization-and-restoration-action | 87.2 | 82.0 | 87.8 | 86.3 | 79.4 |
| bridge-prompt-towards-ordinal-action | 88.1 | 83.8 | 89.2 | 87.8 | 81.3 |
| refining-action-segmentation-with | 83.9 | 81.0 | 86.6 | 85.7 | 78.5 |
| ms-tcn-multi-stage-temporal-convolutional-2 | 83.7 | 74.3 | 80.7 | 78.5 | 70.1 |
| semantic2graph-graph-based-multi-modal | 88.6 | 89.1 | 91.5 | 90.2 | 87.3 |