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Person Search On Cuhk Sysu

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Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

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Paper TitleRepository
DMRNet93.294.2Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search
PAPS92.194.0Real-time distributed video analytics for privacy-aware person search-
SeqNeXt96.196.5Gallery Filter Network for Person Search
SeqNeXt+GFN96.497.0Gallery Filter Network for Person Search
GLCNet+CBGM95.896.2MovieNet-PS: A Large-Scale Person Search Dataset in the Wild
OIM+SeqNet+CBGM94.395.0Sequential End-to-end Network for Efficient Person Search
AlignPS92.693.4Anchor-Free Person Search
OIM+SeqNet93.494.1Sequential End-to-end Network for Efficient Person Search
ROI-AlignPS95.496.0Efficient Person Search: An Anchor-Free Approach
SOLIDER95.595.8Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
GLCNet95.596.1MovieNet-PS: A Large-Scale Person Search Dataset in the Wild
DMRNet++94.595.7DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search-
NAE+SeqNet+CBGM94.895.7Sequential End-to-end Network for Efficient Person Search
AlignPS+9494.5Anchor-Free Person Search
NAE+SeqNet93.894.6Sequential End-to-end Network for Efficient Person Search
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