Action Recognition Blocks

G3D is a unified spatial-temporal graph convolutional operator that directly models cross-spacetime joint dependencies. It leverages dense cross-spacetime edges as skip connections for direct information propagation across the 3D spatial-temporal graph.

Source: Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Papers


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Tasks


Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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