I may be slow to respond.
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NLPR, CASIA
- Beijing, China
- https://huanghoujing.github.io/
Highlights
- Pro
Pinned Loading
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AlignedReID-Re-Production-Pytorch
AlignedReID-Re-Production-Pytorch PublicReproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.
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beyond-part-models
beyond-part-models PublicPCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
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person-reid-triplet-loss-baseline
person-reid-triplet-loss-baseline PublicRank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
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