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/generation21/generation6011
https://github.com/gentlezhu/shift-robust-gnns
https://github.com/giakou4/pyfeats
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/giakou4/pyssl
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/gitabcworld/ConvArc
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification
https://github.com/gittar/tensorflow_transfer
https://github.com/glouppe/info8010-deep-learning
https://github.com/godwinrayanc/YOLOv1-Pytorch
https://github.com/goksenin-uav/torchreid-pip
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
https://github.com/google/flax/tree/master/examples/imagenet
https://github.com/gouthamvgk/coreml_conversion_hub
https://github.com/gpleiss/limits_of_large_width
https://github.com/greatsharma/DeepLearning-Papers-Implementation
https://github.com/guanfuchen/deep_sort
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/guerbet-ai/wsp-contrastive
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/gundeep15/SCD_AI_Project
https://github.com/h4veFunCodin9/Aligned_ReID
https://github.com/hannaiiyanggit/unicon
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/haonanguo/remote-sensing-chatgpt
https://github.com/hasanirtiza/Pedestron
https://github.com/hehefan/P4Transformer
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hehefan/PSTNet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hehefan/Point-Spatio-Temporal-Convolution
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hehefan/PointRNN
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hehefan/PointRNN-PyTorch
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/heidongxianhau/deeplab2
https://github.com/hemakaraveenhansika/convirt
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/hershd23/ObjectLocalizer
https://github.com/hkim1207/2021MIP
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/hoangcuongbk80/VoteGrasp
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/hongkunsun/paratranscnn
https://github.com/hongyi-zhang/Fixup
https://github.com/horse007666/ResNet
https://github.com/hott-j/face-mask-detection
https://github.com/houseleo/pointnet
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.