Papers with Code 아카이브
Pedestrian Attribute Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 8
- 보존된 평가 기록
- 30
Pedestrian attribution recognition is the task of recognizing pedestrian features - such as whether they are talking on a phone, whether they have a backpack, and so on.
<span style="color:grey; opacity: 0.6">( Image credit: HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SiHaoShen/Convolutional-Neural-Networks
https://github.com/SimJeg/FC-DenseNet
https://github.com/Stomper10/CheXpert
https://github.com/ThanasisMattas/smartflow
https://github.com/Thehunk1206/Covid-19-chest-X-ray
https://github.com/Thehunk1206/Covid-19-covidcnn
https://github.com/Tiago-Roxo/Faces-in-the-Wild
YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition
https://github.com/Tiago-Roxo/YinYang-Net
YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition
https://github.com/TianmingQiu/HydraPlusNet
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
https://github.com/TowardHumanizedInteraction/TripletFace
https://github.com/UESBTC/DenseNet-Tensorflow
https://github.com/UnofficialJuliaMirror/DeepMark-deepmark
https://github.com/UnofficialJuliaMirrorSnapshots/DeepMark-deepmark
https://github.com/Vamshi399/CarND-Vehicle-Detection
https://github.com/VamsiKrishna1211/gender_age-detection
https://github.com/VhalPurohit/290s
https://github.com/VinayBN8997/CIFAR-10-object-detection
https://github.com/VinayBN8997/ResNet-CIFAR10
https://github.com/ViswanathaReddyGajjala/EfficientNet-RetinaNet
https://github.com/Yeeun-Lee/parrot_proj1
https://github.com/Yeeun-Lee/parrot_vision_competition
https://github.com/YerevaNN/DIIN-in-Keras
https://github.com/YixuanLi/densenet-tensorflow
https://github.com/YudeWang/UNet-Satellite-Image-Segmentation
https://github.com/Zachdr1/CNNs
https://github.com/abaietto/neural_ode_classification
https://github.com/abuchin/resnet_sign
https://github.com/aby2s/sharpmask
https://github.com/adldotori/ResNet
https://github.com/agassi4013/Log-DenseNet-Tensorflow
https://github.com/aimbsg/EVA4_S15
https://github.com/ajaystar8/PDRUNet-PyTorch
https://github.com/ajithvallabai/Pedestrian_Attribute_Recognition
A Richly Annotated Dataset for Pedestrian Attribute Recognition
https://github.com/ajithvallabai/getsetgo_keras-beginner
https://github.com/akamaster/pytorch_resnet_cifar10
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.