Gait3D-Parsing
Introduced by Zheng et al. in Parsing is All You Need for Accurate Gait Recognition in the Wild
Gait3D-Parsing is a dataset for gait recognition in the wild. It is an extension of the large-scale and challenging Gait-3D dataset which is collected from an in-the-wild environment. The train set has 3,000 IDs, and the test set has 1,000 IDs. Meanwhile, 1,000 sequences in the test set are taken as the query set, and the rest of the test set is taken as the gallery set.
Papers
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