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/jacobtyo/mudd
https://github.com/jainabhishek/mnetv2
https://github.com/james77777778/keras-image-models
https://github.com/jameswang287/Car-Detection
https://github.com/jbernoz/deeppolyp
https://github.com/jday96314/Kuzushiji
https://github.com/jiajunhua/facebookresearch-Detectron
https://github.com/jiangsikai/Person_reID_baseline_pytorch
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
https://github.com/jimheaton/Ultra96_ML_Embedded_Workshop
https://github.com/jinbac/PlantNet
https://github.com/jiweibo/imagenet
https://github.com/jjmachan/DeepHash
https://github.com/jmesich/chestxray
https://github.com/jmjeon94/MobileNet-Pytorch
https://github.com/jmysu/ESP32CAM-FaceDetect-Line-Notify
https://github.com/joehammer934/MGN-ReId
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
https://github.com/joeynavarro/facial_expression_classification
https://github.com/john-mlr/CIFAR-10-SimCLR
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/johngear/eecs504
https://github.com/johnnylu305/resnet-50-101-152
https://github.com/johnsonsign/mast-pre
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/johntd54/stanford_car
https://github.com/jonnor/datascience-master
https://github.com/joyhsu0504/ns3d
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/jramapuram/BYOL
Bootstrap your own latent: A new approach to self-supervised Learning
https://github.com/jramapuram/SimCLR
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/jtcass01/SIMON
https://github.com/juanluisrosaramos/deep-sort
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/julik43/IIMAS-USCS
https://github.com/juneweng/byol-pytorch
Bootstrap your own latent: A new approach to self-supervised Learning
https://github.com/jung-jun-uk/mixface
https://github.com/jvoynow/ConvNet-Architectures
https://github.com/jwcalder/GraphLearningLayer
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/k-miran/hear
https://github.com/kailashhambarde/DetReIDX
DetReIDX: A Stress-Test Dataset for Real-World UAV-Based Person Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.