https://github.com/seominseok0429/vidoe_tracking-Reidentification-Action_recognition_Demo
Bag of Tricks and A Strong Baseline for Deep 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/seovchinnikov/cosine_softmax_keras
https://github.com/serre-lab/gala_tpu
https://github.com/serre-lab/prj_selfsup
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/setharram/facenet
https://github.com/sevakon/mobilenetv2
https://github.com/seyrankhademi/ResNet_CIFAR10
https://github.com/sgoldyaev/DeepFashion.ADGAN
Ranking and Classification driven Feature Learning for Person Re_identification
https://github.com/sgrvinod/a-pytorch-tutorial-to-super-resolution
https://github.com/shao-chi/ImageCaption
https://github.com/shawnyuen/DataAugmentationPaperCollection
https://github.com/shaygu62/Protein-Classification
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/shicai/MobileNet-Caffe
https://github.com/shijianjian/efficientnet-pytorch-3d
https://github.com/shiqiyu/opengait
https://github.com/shoaibahmed/CrossLayerPooling
https://github.com/shoji9x9/CIFAR-10-By-small-ResNet
https://github.com/shoji9x9/Fashion-MNIST-By-ResNet
https://github.com/shtnkgm/VisionFrameworkSample
https://github.com/shubhamtyagii/Aligned_Reid
https://github.com/sidify/resnet_focal_loss
https://github.com/sidwa/ae_thesis
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/sithu31296/simple-object-tracking
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/skmatz/prcc-pytorch
Person Re-identification by Contour Sketch under Moderate Clothing Change
https://github.com/smartdanny/MoCoV2_CIFAR10
https://github.com/smc-x/ms-resnetv2
https://github.com/smerdov/DataCollectionSystem
https://github.com/smin107/CapstoneDesign
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/sohne-ck/Traffic_Monitoring_System
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/souravverma94/pre_trained_imgclassifier_dogBreeds
https://github.com/sparvangada/capstone_project
https://github.com/spijkervet/simclr
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/ssahn3087/pedestrian_detection
Triplet-based Deep Similarity Learning for Person Re-Identification
https://github.com/sshaoshuai/Pointnet2.PyTorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/ssumin6/SimCLR
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/staillyd/deep_sort
Simple Online and Realtime Tracking with a Deep Association Metric
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.