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Person Re-Identification

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하위 태스크: 13
평가표: 41
보존된 평가 기록: 533

Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.

코드

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

https://github.com/syliz517/clip-reid

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CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels

https://github.com/tagperson/tagperson-blender

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TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification

https://github.com/tenghehan/AuxUSLReID

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A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets

https://github.com/tengteng95/Pose-Transfer

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Progressive Pose Attention Transfer for Person Image Generation

https://github.com/tengxiao14/neighbor-guided-usl-vi-reid

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Relieving Universal Label Noise for Unsupervised Visible-Infrared Person Re-Identification by Inferring from Neighbors

https://github.com/terminator8758/iici

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Learning Intra and Inter-Camera Invariance for Isolated Camera Supervised Person Re-identification

https://github.com/terminator8758/o2cap

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Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification

https://github.com/ternaus/robot-surgery-segmentation

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2017 Robotic Instrument Segmentation Challenge

https://github.com/theziqi/dccc

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Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identification

https://github.com/tinyvision/SOLIDER

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Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

https://github.com/tristangomez44/br_npa

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BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention

https://github.com/ucas-vg/groupsampling

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Rethinking Sampling Strategies for Unsupervised Person Re-identification

https://github.com/uknownpioneer/GSMLP-SMLC

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Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight

https://github.com/undooo/tryharder-acmmm25

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Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-ID

https://github.com/vcl-seoultech/SirNet

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Sampling Agnostic Feature Representation for Long-Term Person Re-identification

https://github.com/vcm-project233/mitml

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Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification

https://github.com/vikshree/humanRobotReid

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An Empirical Study of Person Re-Identification with Attributes

https://github.com/vimar-gu/colorpromptreid

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Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification

https://github.com/vimar-gu/msinet

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MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID

https://github.com/vlsomers/bpbreid

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Body Part-Based Representation Learning for Occluded Person Re-Identification

https://github.com/vlsomers/keypoint_promptable_reidentification

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Keypoint Promptable Re-Identification

https://github.com/voriarty/Dual-path-CNN-with-Max-Gated-block-for-Text-Based-Person-Re-identification

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Dual-path CNN with Max Gated block for Text-Based Person Re-identification

https://github.com/vsingh-group/LCODEC-deep-unlearning

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Deep Unlearning via Randomized Conditionally Independent Hessians

https://github.com/wanggrun/Adaptively-Connected-Neural-Networks

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Adaptively Connected Neural Networks

https://github.com/wanggrun/SYSU-30k

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Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark

https://github.com/wanggrun/triplet

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Solving Inefficiency of Self-supervised Representation Learning

https://github.com/wangguanan/HOReID

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High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

https://github.com/wangguanan/JSIA-ReID

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Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification

https://github.com/wangguanan/denoiserep

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DenoiseRep: Denoising Model for Representation Learning

https://github.com/wangguanan/light-reid

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Faster Person Re-Identification

https://github.com/wangguangyuan/ClusterContrast

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Cluster Contrast for Unsupervised Person Re-Identification

https://github.com/wangshining681/secap-agpreid

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SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks

https://github.com/wangxiao5791509/STADB_ReID

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STADB: A Self-Thresholding Attention Guided ADB Network for Person Re-identification

https://github.com/wavinflaghxm/GroupSampling

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Rethinking Sampling Strategies for Unsupervised 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/weleen/MGH.pytorch

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MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification

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