SOURCE-LINKED INTELLIGENCE
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
Gait recognition has achieved remarkable progress, yet existing methods remain confined to rigid visual matching and often overlook the potential of natural language instructions for interactive retrieval. In this paper, we introduce Composed Gait Retrieval (CoGR), a novel task that retrieves a target gait sequence based on a reference sequence and a natural language modification query. To address the absence of existing datasets for this task, we design an automated annotation pipeline powered by large vision-language models (VLMs) to construct the first gait-language datasets: Language-Augme
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T05:41:05.000Z
First collected: 2026-09-21T08:51:59.673Z. This is not the publication date.