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Pedestrian Attribute Recognition

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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/shoji9x9/CIFAR-10-By-small-ResNet

Deep Residual Learning for Image Recognition

https://github.com/shoji9x9/Fashion-MNIST-By-ResNet

Deep Residual Learning for Image Recognition

https://github.com/shtnkgm/VisionFrameworkSample

Deep Residual Learning for Image Recognition

https://github.com/sidify/resnet_focal_loss

Deep Residual Learning for Image Recognition

https://github.com/smc-x/ms-resnetv2

Deep Residual Learning for Image Recognition

https://github.com/souravverma94/pre_trained_imgclassifier_dogBreeds

Deep Residual Learning for Image Recognition

https://github.com/sparvangada/capstone_project

Densely Connected Convolutional Networks

https://github.com/speckean/upar_challenge

UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval

https://github.com/suhas1999/Flip-kart-grid-challenge

Deep Residual Learning for Image Recognition

https://github.com/sumitkutty/Anti-Spoof-Face-Recognition

Deep Residual Learning for Image Recognition

https://github.com/sungyoonahn/Hint-based-image-colorization-using-Attention-Unet

Deep Residual Learning for Image Recognition

https://github.com/sunlizhuang/YOLOv1-PaddlePaddle

Deep Residual Learning for Image Recognition

https://github.com/sunnysoni97/single_image_fl

Deep Residual Learning for Image Recognition

https://github.com/swasun/VQ-VAE-images

Deep Residual Learning for Image Recognition

https://github.com/swetak20/Deep_into_CNNs

Deep Residual Learning for Image Recognition

https://github.com/swxhss/densenet_tensorflow

Densely Connected Convolutional Networks

https://github.com/syiin/ann_cancer_detection

Deep Residual Learning for Image Recognition

https://github.com/syiin/resnet_cancer_detection

Deep Residual Learning for Image Recognition

https://github.com/t0930198/backup

Deep Residual Learning for Image Recognition

https://github.com/tanjeffreyz/deep-residual-learning

Deep Residual Learning for Image Recognition

https://github.com/taylor-914/DenseNet

Densely Connected Convolutional Networks

https://github.com/tcheung99/ResNet_MiniProject

Deep Residual Learning for Image Recognition

https://github.com/tensorflow/models

Deep Residual Learning for Image Recognition

https://github.com/tensorflow/models/tree/master/research/deeplab

Deep Residual Learning for Image Recognition

https://github.com/tensorflow/models/tree/master/research/slim

Deep Residual Learning for Image Recognition

https://github.com/tensorpack/tensorpack

Deep Residual Learning for Image Recognition

https://github.com/tensorpack/tensorpack/tree/master/examples/ResNet

Deep Residual Learning for Image Recognition

https://github.com/the-super-toys/glimpse-models

Deep Residual Learning for Image Recognition

https://github.com/thughost2/Padam

Deep Residual Learning for Image Recognition

https://github.com/tiagoCuervo/JapaNet

Deep Residual Learning for Image Recognition

https://github.com/titu1994/DenseNet

Densely Connected Convolutional Networks

https://github.com/towhee-io/towhee

Deep Residual Learning for Image Recognition

https://github.com/trachpro/arcface-tf2

Deep Residual Learning for Image Recognition

https://github.com/uclaml/Padam

Deep Residual Learning for Image Recognition

https://github.com/ultralytics/yolov5

Deep Residual Learning for Image Recognition

https://github.com/usnistgov/image-classification-resnet50

Deep Residual Learning for Image Recognition

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