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Rethinking Resolution in the Context of Efficient Video Recognition

NeurIPS 2022 · Video › Action recognition · approach: Contrastive video representation learning · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add clip-level KD from a high-resolution teacher (ablation)ResNet-50 at 112p · ActivityNet-v1.3mAP: 71.8\% -> 73.4\%Helped
switch from clip-level to frame-level KD (ablation)ResKD · ActivityNet-v1.3mAP: 73.4\% -> 76.6\%Helped
switch from frame-level to pixel-level (feature map) KD (ablation)ResKD · ActivityNet-v1.3mAP: 76.6\% -> 78.5\%Helped
use high-resolution teacher input instead of only a larger teacher at low resolution (ablation)ResKD · ActivityNet-v1.3mAP: 73.3\% -> 76.2\%Helped
use R152 teacher in addition to high-resolution input (ablation)ResKD · ActivityNet-v1.3mAP: 76.2\% -> 78.5\%Helped
apply ResKD to SlowOnly at 112pSlowOnly-ResNet50 · Kinetics-400top-1 accuracy: 69.3\% -> 73.1\%Helped
apply ResKD to Swin_S at 112pSwin_S · Kinetics-400top-1 accuracy: 76.3\% -> 80.0\%Helped
apply ResKD (low resolution) to TSMTSM-ResNet50 · Something-Something V2top-1 accuracy: 59.1\% -> 60.6\%Helped
reduce input resolution from 224p to 56p with ResKD (ablation)ResKD ResNet-50 · ActivityNet-v1.3mAP: 81.7\% -> 70.5\%Hurt
modify ResNet-50 strides from (1,2,2,2) to (1,1,2,2) (ablation)ResNet-50 · ActivityNet-v1.3mAP at low resolutionMixed

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