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Temporal Sentence Grounding On Charades Sta

Metrics

R1@0.5
R1@0.7
R5@0.5
R5@0.7

Results

Performance results of various models on this benchmark

Paper TitleRepository
AdaFocus (Full, MViT-Charades-Pretrain-feature, MMN model)62.438.689.466.4Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition-
AdaFocus (Full, I3D-Charades-Pretrain-feature, MMN model)56.735.687.965.0Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition-
MMN (Full, MViT-K400-Pretrain-feature, evaluated by AdaFocus)55.232.288.362.7Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
AdaFocus (Weak, MViT-Charades-Pretrain-feature, CPL model)51.723.285.252.6Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition-
AdaFocus (Semi-weak, MViT-Charades-Pretrain-feature, D3G model)50.121.886.154.6Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition-
MMN (Full, I3D-K400-Pretrain-feature, evaluated by AdaFocus)49.429.885.860.5Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
AdaFocus (Weak, I3D-Charades-Pretrain-feature, CPL model)49.122.484.251.8Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition-
CPL (Weak, MViT-K400-Pretrain-feature, evaluated by AdaFocus)47.821.884.650.4Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning-
AdaFocus (Semi-weak, I3D-Charades-Pretrain-feature, D3G model)46.921.179.349.2Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition-
D3G (Semi-weak, MViT-K400-Pretrain-feature, evaluated by AdaFocus)46.020.283.150.2D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
D3G (Semi-weak, I3D-K400-Pretrain-feature, evaluated by AdaFocus)41.718.878.248.0D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
CPL (Weak, I3D-K400-Pretrain-feature, evaluated by AdaFocus)39.618.681.449.2Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning-
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Temporal Sentence Grounding On Charades Sta | SOTA | HyperAI