For 3D CNNs on video, subtracting per-frame deep Taylor explanations from the full-clip explanation produces a residual map intended to isolate motion relevance.
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
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Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition
For 3D CNNs on video, subtracting per-frame deep Taylor explanations from the full-clip explanation produces a residual map intended to isolate motion relevance.