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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/SheldongChen/AMD.github.io

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Explainable Person Re-Identification with Attribute-guided Metric Distillation

https://github.com/ShengcaiLiao/TransMatcher

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TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

https://github.com/ShuangLI59/person_search

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Joint Detection and Identification Feature Learning for Person Search

https://github.com/SiddhantKapil/LA-Transformer

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Person Re-Identification with a Locally Aware Transformer

https://github.com/SikaStar/IDM

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IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID

https://github.com/SongBaiHust/Adversarial_Metric_Attack

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Adversarial Metric Attack and Defense for Person Re-identification

https://github.com/TAMU-VITA/ABD-Net

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ABD-Net: Attentive but Diverse Person Re-Identification

https://github.com/TAMU-VITA/FAT

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In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation

https://github.com/TPCD/DG-VAE

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Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification

https://github.com/TPCD/LifelongReID

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Lifelong Person Re-Identification via Adaptive Knowledge Accumulation

https://github.com/TeCSAR-UNCC/person-reid

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Real-time Person Re-identification at the Edge: A Mixed Precision Approach

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

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Devil's in the Details: Aligning Visual Clues for Conditional Embedding in Person Re-Identification

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

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Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training

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

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

https://github.com/Terminator8758/CAP-master

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Camera-aware Proxies for Unsupervised Person Re-Identification

https://github.com/Trangle12/CCAFL

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CLIP-based Camera-Agnostic Feature Learning for Intra-camera Person Re-Identification

https://github.com/Varat7v2/adaptive-threshold

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Adaptive Threshold for Online Object Recognition and Re-identification Tasks

https://github.com/VideoObjectSearch/RandPerson

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Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

https://github.com/Vill-Lab/2023-TIFS-DTIBA

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Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification

https://github.com/WangKan0128/MPN

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Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification

https://github.com/WangTaoAs/PFD_Net

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Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer

https://github.com/WangWenhao0716/Attentive-WaveBlock

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Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond

https://github.com/WangWenhao0716/DomainMix

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DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations

https://github.com/Wanggcong/RLD_codes

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Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification

https://github.com/Wanggcong/Spatial-Temporal-Re-identification

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Spatial-Temporal Person Re-identification

https://github.com/WesleyZhang1991/GCN_rerank

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Graph Convolution for Re-ranking in Person Re-identification

https://github.com/X-BrainLab/PI-ReID

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Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians

https://github.com/XinshaoAmosWang/OSM_CAA_WeightedContrastiveLoss

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

https://github.com/Xuanmeng-Zhang/gnn-re-ranking

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Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

https://github.com/Xun-Yang/ReID_slef-training_TOMM2017

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Enhancing Person Re-identification in a Self-trained Subspace

https://github.com/YangShenSJTUs/ReIDCorresStructure

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Person Re-identification with Correspondence Structure Learning

https://github.com/YantaoShen/kpm_rw_person_reid

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Deep Group-shuffling Random Walk for Person Re-identification

https://github.com/YifanSun-ReID/VPM-reID

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Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

https://github.com/YunpengZhai/MEB-Net

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Multiple Expert Brainstorming for Domain Adaptive Person Re-identification

https://github.com/ZJULearning/PTL

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Progressive Transfer Learning

https://github.com/ZacharyWang-007/FED-Occluded-ReID

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Feature Erasing and Diffusion Network for Occluded Person Re-Identification

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