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Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering

CVPR 2022 · Video › Action recognition · approach: Temporal action segmentation · 65 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add a temporal order-preserving prior to standard OT (ablation)Online clustering for activity segmentation · 50 Salads EvalF1-Score: 27.8 -> 42.8Helped
Add a temporal order-preserving prior to standard OT (ablation)Online clustering for activity segmentation · YouTube InstructionsF1-Score: 11.6 -> 30.0Helped
Add temporal coherence loss to TOT (ablation)Temporal optimal transport segmentation · 50 Salads EvalF1-Score: 42.8 -> 48.2Helped
Add temporal coherence loss to TOT (ablation)Temporal optimal transport segmentation · 50 Salads EvalMOF: 47.4 -> 44.5Hurt
Add temporal coherence loss to TOT (ablation)Temporal optimal transport segmentation · YouTube InstructionsF1-Score: 30.0 -> 32.9Helped
Add CTE time-stamp prediction loss to TOT (ablation)Temporal optimal transport segmentation · 50 Salads EvalF1-Score: 42.8 -> 36.0Hurt
Add temporal coherence loss to TOT (ablation)Temporal optimal transport segmentation · BreakfastMOFHurt
Add temporal coherence loss to TOTTemporal optimal transport segmentation · Desktop AssemblyF1-Score: 51.7 -> 53.4Helped
Use a joint online representation-learning and clustering framework rather than sequential clusteringUnsupervised activity segmentation · BreakfastF1-Score: +4.6Helped
Add entropy regularization to the temporal OT objective (ablation)TOT on 50 Salads Eval · 50 Salads EvalMOF: 47.4% vs. 46.2%Hurt

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