BigGait: Learning Gait Representation You Want by Large Vision Models

arXiv:2402.19122v1 Announce Type: new
Abstract: Gait recognition stands as one of the most pivotal remote identification technologies and progressively expands across research and industrial communities. However, existing gait recognition methods heavily rely on task-specific upstream driven by supervised learning to provide explicit gait representations, which inevitably introduce expensive annotation costs and potentially cause cumulative errors. Escaping from this trend, this work explores effective gait representations based on the all-purpose knowledge produced by task-agnostic Large Vision Models (LVMs) and proposes a …

arxiv cs.cv large vision models representation type vision vision models