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Research map / Video / Action recognition

Video Modeling With Correlation Networks

CVPR 2020 · Video › Action recognition · approach: Spatiotemporal CNNs for action recognition · 164 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add learnable filters to the correlation operator (ablation)CorrNet-26 · Kineticsaccuracy (%): 73.9 -> 75.1Helped
add learnable filters to the correlation operator (ablation)CorrNet-26 · Somethingaccuracy (%): 46.5 -> 47.4Helped
retain grouping in the correlation operator (ablation)CorrNet-26 · Kineticsaccuracy (%): 74.2 -> 75.1Helped
retain grouping in the correlation operator (ablation)CorrNet-26 · Somethingaccuracy (%): 46.1 -> 47.4Helped
use correlation-sum instead of correlation-concat (ablation)CorrNet-26 · Kineticsaccuracy (%): 73.2 -> 75.1Helped
use correlation-sum instead of correlation-concat (ablation)CorrNet-26 · Somethingaccuracy (%): 45.9 -> 47.4Helped
increase input clip length from 16 to 32 framesCorrNet-26 · Kineticstop-1 accuracy (%): 73.4 -> 75.1Helped
increase input clip length from 16 to 32 framesCorrNet-26 · Somethingtop-1 accuracy (%): 38.5 -> 47.4Helped
increase input clip length from 16 to 32 framesCorrNet-26 · Divingtop-1 accuracy (%): 27.0 -> 35.5Helped
increase matching neighborhood size K, with diminishing returns beyond K=7 (ablation)CorrNet-26 · classification evaluationaccuracyHelped

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