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Video-Based Person Re-Identification

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Video-based person re-identification (reID) aims to retrieve person videos with the same identity as a query person across multiple cameras

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/TencentYoutuResearch/PersonReID-TSF

공식 코드

Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect

https://github.com/XinshaoAmosWang/OSM_CAA_WeightedContrastiveLoss

공식 코드

Deep Metric Learning by Online Soft Mining and Class-Aware Attention

https://github.com/agvpreid25/ag-vpreid-net

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AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification

https://github.com/aimagelab/VKD

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Robust Re-Identification by Multiple Views Knowledge Distillation

https://github.com/aru05c/SymbolicTemporalPooling

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A Symbolic Temporal Pooling method for Video-based Person Re-Identification

https://github.com/asuradayuci/tf-clip

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TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification

https://github.com/blue-blue272/BiCnet-TKS

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BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification

https://github.com/blue-blue272/VideoReID-TCLNet

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Temporal Complementary Learning for Video Person Re-Identification

https://github.com/cvlab-yonsei/STMN

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Video-based Person Re-identification with Spatial and Temporal Memory Networks

https://github.com/daodaofr/hypergraph_reid

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Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification

https://github.com/deanchan/keypointmessagepassing

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Keypoint Message Passing for Video-based Person Re-Identification

https://github.com/deropty/uPMnet

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Exploiting Robust Unsupervised Video Person Re-identification

https://github.com/fhr-l/g2a-vreid

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Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

https://github.com/fhr-l/vsla-clip

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Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

https://github.com/flysnowtiger/GRL

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Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification

https://github.com/flysnowtiger/dcct

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Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification

https://github.com/guxinqian/AP3D

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Appearance-Preserving 3D Convolution for Video-based Person Re-identification

https://github.com/guxinqian/TKP

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Temporal Knowledge Propagation for Image-to-Video Person Re-identification

https://github.com/huynguyen792/ag-reid

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Aerial-Ground Person Re-ID

https://github.com/jackie840129/CF-AAN

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Video-based Person Re-identification without Bells and Whistles

https://github.com/jackie840129/STE-NVAN

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Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification

https://github.com/kitware/mevid

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MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification

https://github.com/ppriyank/Video-Person-Re-ID-Fantastic-Techniques-and-Where-to-Find-Them

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Video Person Re-ID: Fantastic Techniques and Where to Find Them

https://github.com/rshivansh/Spatial-Temporal-attention

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Video-based Person Re-identification Using Spatial-Temporal Attention Networks

https://github.com/shuangjiexu/Spatial-Temporal-Pooling-Networks-ReID

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Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification

https://github.com/weleen/AGRL.pytorch

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Adaptive Graph Representation Learning for Video Person Re-identification

https://github.com/yanbeic/Deep-Association-Learning

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Deep Association Learning for Unsupervised Video Person Re-identification

https://github.com/yolomax/rru-reid

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Spatial and Temporal Mutual Promotion for Video-based Person Re-identification

https://github.com/yuange250/Video-based-person-ReID-with-Attribute-information

공식 코드

Attribute-aware Identity-hard Triplet Loss for Video-based Person Re-identification

https://github.com/MindSpore-scientific/code-14/tree/main/Spatial%20and%20Temporal%20Mutual%20Promotion%20for%20Video-based%20Person%20Re-identification

Spatial and Temporal Mutual Promotion for Video-based Person Re-identification

https://github.com/MindSpore-scientific/code-5/tree/main/Spatial%20and%20Temporal%20Mutual%20Promotion%20for%20Video-based%20Person%20Re-identification

Spatial and Temporal Mutual Promotion for Video-based Person Re-identification

https://github.com/mindspore-ai/contrib/tree/master/application/Spatial%20and%20Temporal%20Mutual%20Promotion%20for%20Video-based%20Person%20Re-identification

Spatial and Temporal Mutual Promotion for Video-based Person Re-identification

https://github.com/ppriyank/-Online-Soft-Mining-and-Class-Aware-Attention-Pytorch

Deep Metric Learning by Online Soft Mining and Class-Aware Attention

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.