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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/wentaotan/interleaved-learning

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Style Interleaved Learning for Generalizable Person Re-identification

https://github.com/wentaotan/mllm4text-reid

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Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID

https://github.com/wenyu1009/pganet

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Pixel-wise Graph Attention Networks for Person Re-identification

https://github.com/wesleyzhang1991/google_landmark_retrieval_2021_2nd_place_solution

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2nd Place Solution to Google Landmark Retrieval 2021

https://github.com/whj363636/Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking

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Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking

https://github.com/whuAdv/AdvPattern

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advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns

https://github.com/whucsy/rottrans

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Rotation Invariant Transformer for Recognizing Object in UAVs

https://github.com/whuzjw/privacy-reid

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Learnable Privacy-Preserving Anonymization for Pedestrian Images

https://github.com/workingcoder/MCJA

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Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification

https://github.com/xbq1994/feature-recovery-transformer

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Learning Feature Recovery Transformer for Occluded Person Re-identification

https://github.com/xbq1994/meta

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Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification

https://github.com/xh-liu/HydraPlus-Net

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HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis

https://github.com/xieqk/TASTR

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Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization

https://github.com/xlearning-scu/llava-reid

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LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification

https://github.com/xliangp/DIFFER

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DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID

https://github.com/xx-adeline/mfpe

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Mining False Positive Examples for Text-Based Person Re-identification

https://github.com/yanan-wang-cs/clonedperson

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Cloning Outfits from Real-World Images to 3D Characters for Generalizable 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/ydwen/opensphere/blob/main/opensphere/module/head/simple.py

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Pairwise Similarity Learning is SimPLE

https://github.com/yjzhao1019/ccup

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CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models

https://github.com/yolomax/WP-ReID

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Vision Meets Wireless Positioning: Effective Person Re-identification with Recurrent Context Propagation

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

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

https://github.com/yolomax/umtf

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Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling

https://github.com/yoonkicho/bau

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Generalizable Person Re-identification via Balancing Alignment and Uniformity

https://github.com/yoonkicho/pplr

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Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

https://github.com/yoqim/pose_vireid

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On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification

https://github.com/yorkeyao/VehicleX

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Simulating Content Consistent Vehicle Datasets with Attribute Descent

https://github.com/youngminPIL/rollback

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Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification

https://github.com/yuanc3/Pose2ID

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From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization

https://github.com/yuanc3/dmon-aro

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Neighbor-Based Feature and Index Enhancement for Person Re-Identification

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

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

https://github.com/yxgeee/FD-GAN

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FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification

https://github.com/yxgeee/MMT

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Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification

https://github.com/yxgeee/SDA

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Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID

https://github.com/yxgeee/SpCL

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Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID

https://github.com/yxgeee/VisDA-ECCV20

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Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID

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