https://github.com/Zhangjinso/PoNA
공식 코드PoNA: Pose-guided Non-local Attention for Human Pose Transfer
Papers with Code 아카이브
Person Re-Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/adhirajghosh/rptm_reid
공식 코드Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems
https://github.com/agvpreid25/ag-vpreid-net
공식 코드https://github.com/ahangchen/TFusion
공식 코드https://github.com/aimagelab/VKD
공식 코드Robust Re-Identification by Multiple Views Knowledge Distillation
https://github.com/aioz-ai/CVPRW21_GPS
공식 코드https://github.com/alehdaghi/cross-modal-re-id-via-lupi
공식 코드Visible-Infrared Person Re-Identification Using Privileged Intermediate Information
https://github.com/alexadlu/cenet
공식 코드Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning
https://github.com/alexadlu/idf
공식 코드Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark
https://github.com/alibaba/cluster-contrast
공식 코드https://github.com/andreas-eberle/x-mars
공식 코드https://github.com/andy412510/tcmm
공식 코드https://github.com/anocodetest1/FPB
공식 코드https://github.com/ant-research/Diverse-and-Compact-Transformer
공식 코드DC-Former: Diverse and Compact Transformer for Person Re-Identification
https://github.com/arnabk001/Pose-Invariant-Person-Re-Identification-using-Robust-Pose-Transfromation-GAN
공식 코드Pose Invariant Person Re-Identification using Robust Pose-transformation GAN
https://github.com/art2611/mreid-ucd-ccd
공식 코드Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data
https://github.com/aru05c/SymbolicTemporalPooling
공식 코드A Symbolic Temporal Pooling method for Video-based Person Re-Identification
https://github.com/asuradayuci/tf-clip
공식 코드TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification
https://github.com/automan000/Camera-based-Person-ReID
공식 코드Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
https://github.com/babahui/fpc
공식 코드Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
https://github.com/baolp/VAL-PAT
공식 코드Learning Transferable Pedestrian Representation from Multimodal Information Supervision
https://github.com/bar371/ReFace
공식 코드GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features
https://github.com/bdager/CHIRLA
공식 코드CHIRLA: Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis
https://github.com/bismex/HiCMD
공식 코드Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
https://github.com/bismex/MetaBIN
공식 코드Meta Batch-Instance Normalization for Generalizable Person Re-Identification
https://github.com/blue-blue272/BiCnet-TKS
공식 코드BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
https://github.com/blue-blue272/ImgReID-IAnet
공식 코드IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
https://github.com/blue-blue272/OccludedReID-RFCnet
공식 코드https://github.com/blue-blue272/VideoReID-TCLNet
공식 코드Temporal Complementary Learning for Video Person Re-Identification
https://github.com/brkljac/personReID
공식 코드Person detection and re-identification in open-world settings of retail stores and public spaces
https://github.com/bupt-ai-cz/hhcl-reid
공식 코드Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification
https://github.com/camma-public/self-mva
공식 코드https://github.com/cap-ntu/FedReID
공식 코드Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis
https://github.com/caposerenity/daps
공식 코드https://github.com/casia-iva-lab/pass-reid
공식 코드PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification
https://github.com/charliememory/Market1203-Reid-Dataset
공식 코드Orientation Driven Bag of Appearances for Person Re-identification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.