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/delyan-boychev/grad-cache-con-learning
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/demul/ResidualNet
https://github.com/deontaepharr/Residual-Attention-Network
https://github.com/derek285/yolov4_deep_sort_pytorch
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/derrickwang005/mosrep
https://github.com/detectiveli/PSMA
https://github.com/dewenzeng/clsp
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/dfki-av/anonynoise
Person Re-Identification without Identification via Event Anonymization
https://github.com/dfki-av/mikasa-3dvg
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/dgriffiths3/pointnet2-tensorflow2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/dmcv-ecnu/MindSpore_ModelZoo/tree/main/DDAG_mindspore
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
https://github.com/dmizr/phuber
https://github.com/dnddnjs/pytorch-cifar10
https://github.com/domainadaptation/salad
https://github.com/donnjonn/Masterproef
https://github.com/dssbxx/k_labels_resnet50
https://github.com/duan-song/SATNet
https://github.com/duchaba/Norwegian_Blue_Parrot_k2fa_AI
https://github.com/dustin-nguyen-qil/SEMI_VCCReID
A Benchmark of Video-Based Clothes-Changing Person Re-Identification
https://github.com/dv-fenix/Domain-Adaptation
https://github.com/earthLD/Algorithm
https://github.com/eddiebarry/SingleShotDetector
https://github.com/edreismd/convirt-pytorch
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/edureisMD/ConVIRT-pytorch
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/eminorhan/baby-vision
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/enzomuschik/distilfnd
https://github.com/eogussla12/Shufflenet_CIFAR10_Pytorch
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
https://github.com/eric-erki/IdenProf
https://github.com/ericjang/odin
https://github.com/erikwijmans/Pointnet2_PyTorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/erlendd/ddan
https://github.com/espressif/esp-who
https://github.com/etrommer/dcsr
https://github.com/eunki7/flask-deeplearning-service-demo
https://github.com/europa1610/Tensorflow-Shufflenet
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.