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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/kali-hac/simmc

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SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification

https://github.com/kali-hac/spc-mgr

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Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation Modeling for Unsupervised Person Re-Identification

https://github.com/kali-hac/transg

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TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification

https://github.com/keniu042/diffusion-reid

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Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-Training

https://github.com/kimbingng/deskpro

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Identity-Sensitive Knowledge Propagation for Cloth-Changing 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/kkanshul/Hide-and-Seek

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Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond

https://github.com/kuilongcui/mdpr

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Mutual Distillation Learning For Person Re-Identification

https://github.com/kzkadc/reid-tta

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Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift

https://github.com/langlrsw/AAL-unbiased-authentication

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Additive Adversarial Learning for Unbiased Authentication

https://github.com/layumi/2016_person_re-ID

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A Discriminatively Learned CNN Embedding for Person Re-identification

https://github.com/layumi/3D-Magic-Mirror

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3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective

https://github.com/layumi/Pedestrian_Alignment

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Pedestrian Alignment Network for Large-scale Person Re-identification

https://github.com/layumi/Person-reID_GAN

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Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

https://github.com/layumi/person-reid-3d

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Parameter-Efficient Person Re-identification in the 3D Space

https://github.com/leeBooMla/ICSR

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Pseudo Labels Refinement with Intra-camera Similarity for Unsupervised Person Re-identification

https://github.com/leeboomla/calr

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Camera-aware Label Refinement for Unsupervised Person Re-identification

https://github.com/lhf12278/DRDL

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Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identification

https://github.com/libraflower/MutipleFeature-for-PRID

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Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification

https://github.com/liminxian/DukeMTMC-SI-Tracklet

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Unsupervised Tracklet Person Re-Identification

https://github.com/lin-kayla/subjectivity-sketch-reid

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Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval

https://github.com/lingxiao-he/Partial-Person-ReID

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Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach

https://github.com/linlyac/vdt-agpreid

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View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network

https://github.com/lithium770/Unsupervised-Person-Re-identification-with-Stochastic-Training-Strategy

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Unsupervised Person Re-identification with Stochastic Training Strategy

https://github.com/lithium770/unsupervised-person-re-id-with-stochastic-training-strategy

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Unsupervised Person Re-identification with Stochastic Training Strategy

https://github.com/littleprince1121/pade_parallel_augmentation_and_dual_enhancement_for_occluded_person_reid

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Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification

https://github.com/liu-xb/DIM_GLO

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Domain Adaptive Person Re-Identification via Coupling Optimization

https://github.com/liu-xb/GCMT

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Graph Consistency Based Mean-Teaching for Unsupervised Domain Adaptive Person Re-Identification

https://github.com/liutinglt/CE2P

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Devil in the Details: Towards Accurate Single and Multiple Human Parsing

https://github.com/liuzhuang13/DenseNet

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Densely Connected Convolutional Networks

https://github.com/liyuke65535/part-aware-transformer

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Part-Aware Transformer for Generalizable Person Re-identification

https://github.com/ljpadam/CGPS

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Exploring Visual Context for Weakly Supervised Person Search

https://github.com/longcw/MOTDT

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Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification

https://github.com/luigy-mach/trade

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TrADe Re-ID -- Live Person Re-Identification using Tracking and Anomaly Detection

https://github.com/madhukiranets/holisitcguidanceoccreid2

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Holistic Guidance for Occluded Person Re-Identification

https://github.com/madkn/MultiregionBilinearCNN-ReId

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Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification

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