GaitKD introduces a decoupled distillation framework that transfers inter-class decisions via part-calibrated logits and preserves embedding space partitioning via activation boundaries, yielding consistent gains over baselines on gait benchmarks.
Relational knowledge distilla- tion
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GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition
GaitKD introduces a decoupled distillation framework that transfers inter-class decisions via part-calibrated logits and preserves embedding space partitioning via activation boundaries, yielding consistent gains over baselines on gait benchmarks.