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/ut-vision/simhand
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/uw-hai/limeade
https://github.com/varshaneya/Res-SE-Net
https://github.com/vayuvegula/kerasModels
https://github.com/vcoyette/DANN
https://github.com/vgangal101/resnet_models
https://github.com/vict0rsch/ArxivTools
https://github.com/vict0rsch/PaperMemory
https://github.com/vict0rsch/arxiv-pdf-abs
https://github.com/vietanhdev/open-adas
https://github.com/vietdhoang/resnet-18
https://github.com/vihari/crossgrad
https://github.com/vinay-EIP/EIP-session-5-assignment
https://github.com/vineeths96/Gradient-Compression
https://github.com/vineeths96/heterogeneous-systems
https://github.com/vinod377/STN-OCR
https://github.com/vinod377/STN-OCR-Tensorflow
https://github.com/vita-epfl/rock-pytorch
https://github.com/vita-group/abd-net
https://github.com/vlievin/Unet
https://github.com/vturrisi/solo-learn
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/w5688414/Keras-MobileNetV2-Image-classification
https://github.com/wang-pengfei/ucf
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/wang-tf/MGN-tf
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
https://github.com/wangbinglin1995/tianchi
https://github.com/wangguanan/AlignGAN
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
https://github.com/wangvation/torch-mobilenet
https://github.com/wangyuan249/Mymmt767
https://github.com/wasilone11/ICPR-RIP-2024
https://github.com/waterdisappear/nudt4mstar
https://github.com/wenxinxu/resnet-in-tensorflow
https://github.com/wenxinxu/resnet_in_tensorflow
https://github.com/whu-fanghan/EANet
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
https://github.com/wikke/Tianchi-Medical-LungTumorDetect
https://github.com/wilile26811249/SimCLR
A Simple Framework for Contrastive Learning of Visual Representations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.