Papers with Code 아카이브

Person Re-Identification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/MG-SCR

공식 코드

Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification

https://github.com/Kali-Hac/SGE-LA

공식 코드

Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification

https://github.com/Kali-Hac/SM-SGE

공식 코드

SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification

https://github.com/KovenYu/CAMEL

공식 코드

Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification

https://github.com/KovenYu/DECAMEL

공식 코드

Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding

https://github.com/KovenYu/MAR

공식 코드

Unsupervised Person Re-identification by Soft Multilabel Learning

https://github.com/KovenYu/state-information

공식 코드

Weakly supervised discriminative feature learning with state information for person identification

https://github.com/LiuShiBen/DAFC

공식 코드

Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification

https://github.com/LiuShiBen/DCR

공식 코드

Domain Consistency Representation Learning for Lifelong Person Re-Identification

https://github.com/LiuShiBen/DRE

공식 코드

Diverse Representation Embedding for Lifelong Person Re-Identification

https://github.com/LuckyDC/SFT_REID

공식 코드

Spectral Feature Transformation for Person Re-identification

https://github.com/MSNLAB/Federated-Lifelong-Person-ReID

공식 코드

Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges

https://github.com/MinghuiChen43/CIL-ReID

공식 코드

Benchmarks for Corruption Invariant Person Re-identification

https://github.com/MingkunLishigure/CACL

공식 코드

Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification

https://github.com/MingkunLishigure/MaskCL

공식 코드

SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change

https://github.com/NVlabs/DG-Net-PP

공식 코드

Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification

https://github.com/NVlabs/PAMTRI

공식 코드

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

https://github.com/OasisYang/HPM

공식 코드

Horizontal Pyramid Matching for Person Re-identification

https://github.com/OasisYang/SSG

공식 코드

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification

https://github.com/PaddlePaddle/PaddleClas

공식 코드

Implicit Sample Extension for Unsupervised Person Re-Identification

https://github.com/PengBoXiangShang/deepchange

공식 코드

DeepChange: A Large Long-Term Person Re-Identification Benchmark with Clothes Change

https://github.com/PrasannaPulakurthi/Foreground-Background-Augmentation

공식 코드

Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data

https://github.com/Qi5Lei/CLIP-FGDI

공식 코드

CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification

https://github.com/Qidian213/Ranked_Person_ReID

공식 코드

Ranking and Classification driven Feature Learning for Person Re_identification

https://github.com/QinYang79/RDE

공식 코드

Noisy-Correspondence Learning for Text-to-Image Person Re-identification

https://github.com/QizaoWang/CSSC-CCReID

공식 코드

Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification

https://github.com/QizaoWang/DASA-LReID

공식 코드

Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification

https://github.com/RAufschlaeger/cRID

공식 코드

Following the Clues: Experiments on Person Re-ID using Cross-Modal Intelligence

https://github.com/RQuispeC/saliency-semantic-parsing-reid

공식 코드

Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models

https://github.com/RQuispeC/top-dropblock

공식 코드

Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification

https://github.com/RSL-NEU/person-reid-benchmark

공식 코드

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

https://github.com/RenMin1991/cleaned-DukeMTMC-reID

공식 코드

Learning Instance-level Spatial-Temporal Patterns for Person Re-identification

https://github.com/RikoLi/DCAC

공식 코드

Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification

https://github.com/RikoLi/PCL-CLIP

공식 코드

Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification

https://github.com/SUTDCV/UAV-Human

공식 코드

UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

https://github.com/SY-Xuan/IICS

공식 코드

Intra-Inter Camera Similarity for Unsupervised Person Re-Identification

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