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/fL0n9/SKFAC-MindSpore
https://github.com/fabiofumarola/ultrayolo
https://github.com/fabxy/accessibilityCV
https://github.com/facebook/fb.resnet.torch
https://github.com/facebookarchive/fb.resnet.torch
https://github.com/facebookresearch/DomainBed
https://github.com/facebookresearch/clip-rocket
Bootstrap your own latent: A new approach to self-supervised Learning
https://github.com/facebookresearch/hiera
https://github.com/facebookresearch/imvotenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/facebookresearch/pycls
https://github.com/facebookresearch/simsiam
https://github.com/facebookresearch/stochastic_gradient_push
https://github.com/facebookresearch/vissl
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/facebookresearch/votenet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/facundoq/transformational_measures_experiments
https://github.com/fastai/fastai
https://github.com/fchollet/deep-learning-models
https://github.com/felixgwu/img_classification_pk_pytorch
https://github.com/fengjiqiang/pretrainedmodel_pytorch
https://github.com/fengredrum/cnn-xla
https://github.com/ferozalitm/Efficient-Kernel-XQDA-Matlab
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
https://github.com/ferozalitm/Efficient-Kernel-XQDA-Python
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
https://github.com/ferozalitm/Kernel-XQDA
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification
https://github.com/fgabel/EfficientDet-DeepSORT-Tracker
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/filipbasara0/matryoshka-representation-learning
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/flyyufelix/DenseNet-Keras
https://github.com/fmi-basel/implicit-var-reg
Bootstrap your own latent: A new approach to self-supervised Learning
https://github.com/forcesh/SupContrast
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/freeSubmission/SDB
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
https://github.com/ftdlyc/pointnet_pytorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/fxfviolet/Densenet_for_quiz_classification
https://github.com/gabrieletiboni/Domain-adaptation-on-PACS-dataset
https://github.com/gaetandi/cheXpert
https://github.com/gargarchit/60DaysOfUdacity
https://github.com/gatheluck/Stronghold
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.