Action Segmentation On Jigsaws
평가 지표
Accuracy
Edit Distance
F1@10
F1@25
F1@50
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy | Edit Distance | F1@10 | F1@25 | F1@50 |
|---|---|---|---|---|---|
| deep-reinforcement-learning-for-surgical | 81.43 | 87.96 | 92.0 | 90.5 | 82.2 |
| segmental-spatiotemporal-cnns-for-fine | 74.22 | 66.56 | - | - | - |
| tricornet-a-hybrid-temporal-convolutional-and | 82.9 | 86.8 | - | - | - |
| automatic-gesture-recognition-in-robot | 81.67 | 88.53 | 92.68 | 90.99 | 83.15 |
| end-to-end-fine-grained-action-segmentation | - | 86.21 | - | - | - |
| temporal-convolutional-networks-a-unified | 81.4 | 83.1 | - | - | - |
| relational-graph-learning-on-visual-and | 87.9±4.2 | 89.3±5.2 | - | - | - |