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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/dyh127/Adaptive-Exploration-for-Unsupervised-Person-Re-Identification

공식 코드

Adaptive Exploration for Unsupervised Person Re-Identification

https://github.com/dyhbupt/buptcampus

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Video-based Visible-Infrared Person Re-Identification with Auxiliary Samples

https://github.com/dyhbupt/yyds

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YYDS: Visible-Infrared Person Re-Identification with Coarse Descriptions

https://github.com/ergastialex/mars

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MARS: Paying more attention to visual attributes for text-based person search

https://github.com/facebookresearch/moco

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Improved Baselines with Momentum Contrastive Learning

https://github.com/fegnyujian/homogeneous-and-heterogeneous-relational-graph

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Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification

https://github.com/fhr-l/g2a-vreid

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Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

https://github.com/fhr-l/vsla-clip

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Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

https://github.com/finger-monkey/Data-Augmentation

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Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method

https://github.com/finger-monkey/ReID_Adversarial_Defense

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A Person Re-identification Data Augmentation Method with Adversarial Defense Effect

https://github.com/flysnowtiger/GRL

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Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification

https://github.com/flysnowtiger/dcct

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Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification

https://github.com/franklinlingfeng/code-for-salcr

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Semantic-Aligned Learning with Collaborative Refinement for Unsupervised VI-ReID

https://github.com/franklinlingfeng/code_for_mult

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Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person ReID

https://github.com/fremigereau/mtda_kd_reid

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Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification

https://github.com/frost-yang-99/up-reid

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Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification

https://github.com/ftd-wuchao/ccsfg

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Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

https://github.com/fxw13/OWD

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An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification

https://github.com/g3956/CCFP

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Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes

https://github.com/gddingcs/Dispersion-based-Clustering

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Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification

https://github.com/ggjy/P2Net.pytorch

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Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification

https://github.com/google-research/simclr

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A Simple Framework for Contrastive Learning of Visual Representations

https://github.com/gpn-star/scnet

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Semantic-aware Consistency Network for Cloth-changing Person Re-Identification

https://github.com/guxinqian/AP3D

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Appearance-Preserving 3D Convolution for Video-based Person Re-identification

https://github.com/guxinqian/TKP

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Temporal Knowledge Propagation for Image-to-Video Person Re-identification

https://github.com/guxinqian/simple-ccreid

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Clothes-Changing Person Re-identification with RGB Modality Only

https://github.com/gwxuan/reid3d

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LiDAR-based Person Re-identification

https://github.com/hanhuang22/VI-Diff

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VI-Diff: Unpaired Visible-Infrared Translation Diffusion Model for Single Modality Labeled Visible-Infrared Person Re-identification

https://github.com/hansonchen1996/mmgl

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Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification

https://github.com/haochenheheda/nformer

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NFormer: Robust Person Re-identification with Neighbor Transformer

https://github.com/haoni0812/mda

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CFReID: Continual Few-shot Person Re-Identification

https://github.com/hbchen121/dgreid

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Style Variable and Irrelevant Learning for Generalizable Person Re-identification

https://github.com/hehefan/Unsupervised-Person-Re-identification-Clustering-and-Fine-tuning

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Unsupervised Person Re-identification: Clustering and Fine-tuning

https://github.com/heshuting555/TransReID

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TransReID: Transformer-based Object Re-Identification

https://github.com/hh23333/PVPM

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Pose-guided Visible Part Matching for Occluded Person ReID

https://github.com/hh23333/tsd

공식 코드

Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification

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