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SSAN: Separable Self-Attention Network for Video Representation Learning

CVPR 2021 · Video › Action recognition · approach: Contrastive video representation learning · 32 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace ResNeXt-101 video features with SSA video representationsGRU video-text retrieval model · MSR-VTTR@1: 12.1 -> 24.4Helped
Replace ResNeXt-101 video features with SSA video representationsGRU video-text retrieval model · MSR-VTTR@5: 35.0 -> 49.3Helped
Replace ResNeXt-101 video features with SSA video representationsGRU video-text retrieval model · Youcook2R@1: 4.2 -> 5.5Helped
Add spatial attention (SA) to 2D+1D NL (ablation)2D+1D NL · Something-Something-V2Top-1 accuracy: 61.0 -> 61.5Helped
Add shared value embedding (SVE) (ablation)2D+1D NL with SA · Something-Something-V2Top-1 accuracy: 61.5 -> 61.4Hurt
Add temporal attention (TA) (ablation)2D+1D NL with SA and SVE · Something-Something-V2Top-1 accuracy: 61.4 -> 62.3Helped
Insert SSA in Res2 only (ablation)ResNet-50 TSN · Something-Something-V2Top-1 accuracy: 61.2Helped
Insert SSA in Res3 only (ablation)ResNet-50 TSN · Something-Something-V2Top-1 accuracy: 61.8Helped
Insert SSA in both Res2 and Res3 (ablation)ResNet-50 TSN · Something-Something-V2Top-1 accuracy: 61.2 -> 62.3Helped
Insert SSA in later blocks Res4/Res5 instead of Res2/Res3 (ablation)ResNet-50 TSN · Something-Something-V2Top-1 accuracy: around 0.5\%-0.7\%Hurt

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