DKD distills pose knowledge from the previous video frame into dynamic convolution kernels, enabling small networks to perform video pose estimation with about 8x fewer FLOPs and 2x faster runtime at comparable or better accuracy.
Mutual learning to adapt for joint human parsing and pose estimation
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Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
DKD distills pose knowledge from the previous video frame into dynamic convolution kernels, enabling small networks to perform video pose estimation with about 8x fewer FLOPs and 2x faster runtime at comparable or better accuracy.