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Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

CVPR 2019 · Video › Video segmentation and tracking · approach: Self-supervised video representation learning · 225 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
pre-train C3D with motion statistics instead of random initializationC3D · UCF101accuracy (%): 45.4 -> 57.8Helped
use global motion statistics alongside all local motion patterns (ablation)C3D motion-statistics pre-training · UCF101accuracy (%): 55.4 -> 57.8Helped
use global motion statistics only rather than random initialization (ablation)C3D · UCF101accuracy (%): 45.4 -> 48.3Helped
use motion pattern 1 pre-training rather than random initialization (ablation)C3D · UCF101accuracy (%): 45.4 -> 53.8Helped
use motion pattern 2 pre-training rather than random initialization (ablation)C3D · UCF101accuracy (%): 45.4 -> 53.2Helped
use motion pattern 3 pre-training rather than random initialization (ablation)C3D · UCF101accuracy (%): 45.4 -> 54.2Helped
combine motion and appearance statistics rather than motion statistics alone (ablation)C3D self-supervised pre-training · UCF101accuracy (%): 57.8 -> 58.8Helped
combine motion and appearance statistics rather than motion statistics alone (ablation)C3D self-supervised pre-training · HMDB51accuracy (%): 29.95 -> 32.6Helped
pre-train with appearance statistics only rather than random initialization (ablation)C3D · UCF101accuracy (%): 45.4 -> 48.6Helped
pre-train with appearance statistics only rather than random initialization (ablation)C3D · HMDB51accuracy (%): 19.7 -> 20.3Helped
pre-train with motion statistics only rather than appearance statistics only (ablation)C3D · UCF101accuracy (%): 48.6 -> 57.8Helped
pre-train with motion statistics only rather than appearance statistics only (ablation)C3D · HMDB51accuracy (%): 20.3 -> 29.95Helped

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