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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/hijune6/DGTL-for-VT-ReID

공식 코드

Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification

https://github.com/hijune6/Hetero-center-triplet-loss-for-VT-Re-ID

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Parameter Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification

https://github.com/hongchenphd/MHSA-Net

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MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification

https://github.com/hqqasw/person-search-PPCC

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Person Search in Videos with One Portrait Through Visual and Temporal Links

https://github.com/htyao89/dual-cluster-contrastive

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Dual Cluster Contrastive learning for Object Re-Identification

https://github.com/huanghoujing/EANet

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EANet: Enhancing Alignment for Cross-Domain Person Re-identification

https://github.com/hulu88/pmt

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Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification

https://github.com/hustvl/personvit

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PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification

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

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Aerial-Ground Person Re-ID

https://github.com/huynguyen792/ag-reid.v2

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AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identification

https://github.com/huyquoctrinh/pgds

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PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification

https://github.com/huyquoctrinh/pgs

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PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification

https://github.com/hwz-zju/instruct-reid

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Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions

https://github.com/iCVTEAM/Pirt

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Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification

https://github.com/iamhankai/attribute-aware-attention

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Attribute-Aware Attention Model for Fine-grained Representation Learning

https://github.com/irvingmeng/securevector

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Towards Privacy-Preserving, Real-Time and Lossless Feature Matching

https://github.com/isee-laboratory/pixelfade

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PixelFade: Privacy-preserving Person Re-identification with Noise-guided Progressive Replacement

https://github.com/isee-laboratory/versreid

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A Versatile Framework for Multi-scene Person Re-identification

https://github.com/iviplab/lccrf

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Leaning Compact and Representative Features for Cross-Modality Person Re-Identification

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/jaulaucoeng/hos-net

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High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification

https://github.com/jdai-cv/cm-nas

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CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification

https://github.com/jeremyxsc/dmf

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Deep Multimodal Fusion for Generalizable Person Re-identification

https://github.com/jeremyxsc/finegpr

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Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification

https://github.com/jeremyxsc/mmet

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Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification

https://github.com/jhb86253817/tf-re-id

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Deep Person Re-Identification with Improved Embedding and Efficient Training

https://github.com/jiawei151/sgiel_vireid

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Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification

https://github.com/jinx-USTC/GI-ReID

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Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization

https://github.com/jixunbo/LightMBN

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Lightweight Multi-Branch Network for Person Re-Identification

https://github.com/josemiki/benchmarking_person_re_id

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Benchmarking person re-identification datasets and approaches for practical real-world implementations

https://github.com/jpainam/SLS_ReID

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Sparse Label Smoothing Regularization for Person Re-Identification

https://github.com/jpainam/self_attention_grid

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Self Attention Grid for Person Re-Identification

https://github.com/junkunyuan/hap

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HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

https://github.com/kali-hac/hi-mpc

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Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification

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

공식 코드

Motif Guided Graph Transformer with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification

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