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/prevso1088/open-set-biometrics
공식 코드https://github.com/prismformore/expAT
공식 코드Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification
https://github.com/pse-ecn/expanded-cross-neighborhood
공식 코드A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
https://github.com/pse-ecn/pose-sensitive-embedding
공식 코드A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
https://github.com/qi5lei/dsaf
공식 코드https://github.com/qizaowang/fire-ccreid
공식 코드Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
https://github.com/ramimmhamza/s2p
공식 코드Source-Guided Similarity Preservation for Online Person Re-Identification
https://github.com/raoyongming/CAL
공식 코드Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
https://github.com/rikoli/wacv23-workshop-tmgf
공식 코드Transformer Based Multi-Grained Features for Unsupervised Person Re-Identification
https://github.com/rshivansh/Spatial-Temporal-attention
공식 코드Video-based Person Re-identification Using Spatial-Temporal Attention Networks
https://github.com/sajadamouei/Person-Re-ID-with-light-weight-network
공식 코드An Improved Person Re-identification Method by light-weight convolutional neural network
https://github.com/sciencefans/Quality-Aware-Network
공식 코드https://github.com/serdaryildiz/ENTIRe-ID
공식 코드ENTIRe-ID: An Extensive and Diverse Dataset for Person Re-Identification
https://github.com/serend1p1ty/SeqNet
공식 코드https://github.com/shallowlearn/sportsreid
공식 코드Sports Re-ID: Improving Re-Identification Of Players In Broadcast Videos Of Team Sports
https://github.com/shaoeric/multi-granularity-distillation
공식 코드https://github.com/shengcailiao/QAConv
공식 코드https://github.com/shijiangming1/mmm
공식 코드Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification
https://github.com/shijiangming1/pclhd
공식 코드https://github.com/shuangjiexu/Spatial-Temporal-Pooling-Networks-ReID
공식 코드Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification
https://github.com/shuanglinyan/CFine
공식 코드CLIP-Driven Fine-grained Text-Image Person Re-identification
https://github.com/shuguang-52/drop
공식 코드https://github.com/shuxjweb/last
공식 코드Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark
https://github.com/shuxjweb/pixel_sampling
공식 코드Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
https://github.com/siyuch-fdu/DiP
공식 코드DiP: Learning Discriminative Implicit Parts for Person Re-Identification
https://github.com/smerdov/eSports_Sensors_Dataset
공식 코드https://github.com/solicucu/ReID
공식 코드Combined Depth Space based Architecture Search For Person Re-identification
https://github.com/soon-yau/visconet
공식 코드ViscoNet: Bridging and Harmonizing Visual and Textual Conditioning for ControlNet
https://github.com/sssaury/ham
공식 코드Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification
https://github.com/statistical-deep-learning/dcs-attention
공식 코드Differentiable Channel Selection in Self-Attention For Person Re-Identification
https://github.com/stone5265/3c-reid
공식 코드3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-Identification
https://github.com/stone96123/dpm
공식 코드Dynamic Prototype Mask for Occluded Person Re-Identification
https://github.com/stormyoung/PRAI-1581
공식 코드https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint
공식 코드Dissecting Person Re-identification from the Viewpoint of Viewpoint
https://github.com/sxzrt/proxy-set
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.