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/JTan2231/DenseNet
https://github.com/JaidedAI/EasyOCR
https://github.com/James-Gilbert-/medical-deep-learning
https://github.com/James-Gilbert-/pneumonia-detection
https://github.com/JanMarcelKezmann/Residual-Network-Architectures
https://github.com/Janghyeonwoong/Random-Erasing-Tensorflow2
https://github.com/JayPatwardhan/ResNet-PyTorch
https://github.com/JensSettelmeier/EfficientDet-DeepSORT-Tracker
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/Jeongyun-Lee-0423/Classification
https://github.com/JesonZhang822/Dogs-VS-Cats-Project
https://github.com/JinyongJeong/DeeplabV3_Apolloscape_and_CityScape
https://github.com/JisuHann/MEME-Tracking
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/JisuHann/Object-Tracking
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/JoeTracey/Portfolio
https://github.com/John1liu/YOLOV5-DeepSORT-Vehicle-Tracking-Master
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/JohnsonSign/PointCMP
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/JoonHyung-Park/SimCLR
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/JorisRoels/domain-adaptive-segmentation
https://github.com/KaFaiFai/MobileNet-PyTorch
https://github.com/KaFaiFai/MobileNet-PyTorch-Converter
https://github.com/KaimingHe/deep-residual-networks
https://github.com/KaiyangZhou/mixstyle-release
https://github.com/KarimaCha/CNN_Trust_Prediction
https://github.com/KatherineBaq/NMA-CN2021-fMRI_vs_DNNs
https://github.com/KellerJordan/ResNet-PyTorch-CIFAR10
https://github.com/KellyHwong/rethinking_generalization
https://github.com/Kennethborup/BYOL
Bootstrap your own latent: A new approach to self-supervised Learning
https://github.com/KentaItakura/CNN-classification-using-random-erasing-and-cut-out
https://github.com/L1aoXingyu/reid_baseline
Semi-Supervised Domain Generalizable Person Re-Identification
https://github.com/LDVC124/2016_person_re-ID
A Discriminatively Learned CNN Embedding for Person Re-identification
https://github.com/LJKS/noplants
https://github.com/LKLQQ/ssc_resnet50
https://github.com/LONG-9621/PointNet-
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/LONG-9621/VoteNet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/LcenArthas/Kaggle-Humpback-Whale-Identification
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.