https://github.com/magomezs/dataset_factory
공식 코드Triplet Permutation Method for Deep Learning of Single-Shot Person Re-Identification
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/mangye16/DDAG
공식 코드Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
https://github.com/mangye16/ReID-Survey
공식 코드Deep Learning for Person Re-identification: A Survey and Outlook
https://github.com/meenakshi23/log-conformal-maps
공식 코드LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion
https://github.com/mhsunshine/sc3e_net
공식 코드https://github.com/michuanhaohao/AlignedReID
공식 코드https://github.com/michuanhaohao/reid-strong-baseline
공식 코드Bag of Tricks and A Strong Baseline for Deep Person Re-identification
https://github.com/michuanhaohao/transreid-ssl
공식 코드Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
https://github.com/microsoft/Relation-Aware-Global-Attention-Networks
공식 코드Relation-Aware Global Attention for Person Re-identification
https://github.com/microsoft/SNR
공식 코드Style Normalization and Restitution for Generalizable Person Re-identification
https://github.com/microsoft/Semantics-Aligned-Representation-Learning-for-Person-Re-identification
공식 코드Semantics-Aligned Representation Learning for Person Re-identification
https://github.com/mikwieczorek/centroids-reid
공식 코드On the Unreasonable Effectiveness of Centroids in Image Retrieval
https://github.com/mileyan/DARENet
공식 코드Resource Aware Person Re-identification across Multiple Resolutions
https://github.com/mingjiewang0606/lcye-attack_reid
공식 코드Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking
https://github.com/mmunhappy/icassp2025-pdm
공식 코드Prototype-Driven Multi-Feature Generation for Visible-Infrared Person Re-identification
https://github.com/moon-wh/made
공식 코드Masked Attribute Description Embedding for Cloth-Changing Person Re-identification
https://github.com/mpskex/Minimizing-Mutual-Information
공식 코드Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing
https://github.com/naiq/PN_GAN
공식 코드Pose-Normalized Image Generation for Person Re-identification
https://github.com/nengdong96/csdn
공식 코드CLIP-Driven Semantic Discovery Network for Visible-Infrared Person Re-Identification
https://github.com/nengdong96/etndnet
공식 코드Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
https://github.com/nengdong96/mviip
공식 코드Multi-view Information Integration and Propagation for Occluded Person Re-identification
https://github.com/niejiahao1998/csl
공식 코드Color Space Learning for Cross-Color Person Re-Identification
https://github.com/nixingyang/AdaptiveL2Regularization
공식 코드https://github.com/nixingyang/FlipReID
공식 코드FlipReID: Closing the Gap between Training and Inference in Person Re-Identification
https://github.com/nixingyang/shufflebits
공식 코드https://github.com/nkjcqvcpi/asr
공식 코드https://github.com/nust-machine-intelligence-laboratory/amg
공식 코드https://github.com/nwojke/cosine_metric_learning
공식 코드https://github.com/nwojke/deep_sort
공식 코드Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/opencv/openvino_training_extensions
공식 코드https://github.com/opengvlab/unihcp
공식 코드https://github.com/pangjian123/ISM-ReID
공식 코드https://github.com/paranioar/gssf
공식 코드GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning
https://github.com/perceptualai-lab/awesome-domain-generalizable-person-re-id
공식 코드Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person Matching
https://github.com/ppriyank/Fine-grained-Re-Identification
공식 코드https://github.com/ppriyank/Video-Person-Re-ID-Fantastic-Techniques-and-Where-to-Find-Them
공식 코드Video Person Re-ID: Fantastic Techniques and Where to Find Them
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.