Researchers have introduced GaitKD, a novel framework designed to make gait recognition models more efficient. This method employs a decoupled knowledge distillation approach, separating the transfer of decision-level and boundary-level information. GaitKD aims to transfer knowledge from complex teacher models to simpler student models without increasing inference costs, showing improved performance across various benchmarks. AI
影响 Enables more efficient deployment of gait recognition models by transferring knowledge from larger to smaller architectures.
排序理由 The cluster contains an academic paper detailing a new framework for gait recognition.
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