paper-with-me

Unsupervised Action Segmentation 벤치마크

Unsupervised Action Segmentation on IKEA ASM

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F1

20.1 22.75 25.4 28.05 30.7 2019-04 2026-09 CTE — 22.6 (2019-04-08) CTE — 22.6 (2019-04-08) TOT+TCL — 20.9 (2021-05-27) TOT — 20.1 (2021-05-27) TOT+TCL — 20.9 (2021-05-27) TOT — 20.1 (2021-05-27) ASOT — 27.9 (2024-04-01) ASOT — 27.9 (2024-04-01) HVQ — 30.7 (2024-12-23) HVQ — 30.7 (2024-12-23) CTE — 22.6 (2019-04-08) ASOT — 27.9 (2024-04-01) HVQ — 30.7 (2024-12-23)
RankModel F1AccuracyJSDPrecisionRecall PaperCodeYear
1 HVQ 30.751.264.837.725.9 Hierarchical Vector Quantization for Unsupervised Action Segmentation fedespu/hvq 2024
2 ASOT 27.934.088.721.124.0 Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation mingu6/action_seg_ot 2024
3 CTE 22.623.173.728.118.9 Unsupervised learning of action classes with continuous temporal embedding annusha/unsup_temp_embed · frans-db/progress-prediction 2019
4 TOT+TCL 20.923.879.525.517.7 Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering trquhuytin/TOT-CVPR22 2021
5 TOT 20.121.080.024.417.1 Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering trquhuytin/TOT-CVPR22 2021
6 HVQ 30.751.264.837.725.9 Hierarchical Vector Quantization for Unsupervised Action Segmentation fedespu/hvq 2024
7 ASOT 27.934.088.721.124.0 Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation mingu6/action_seg_ot 2024
8 CTE 22.623.173.728.118.9 Unsupervised learning of action classes with continuous temporal embedding annusha/unsup_temp_embed · frans-db/progress-prediction 2019
9 TOT+TCL 20.923.879.525.517.7 Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering trquhuytin/TOT-CVPR22 2021
10 TOT 20.121.080.024.417.1 Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering trquhuytin/TOT-CVPR22 2021
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