Papers with Code 아카이브
Breast Tumour Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/oskyhn/CNNs-Without-Borders
https://github.com/osmr/imgclsmob
https://github.com/oxygen0605/ImageClassification
https://github.com/p-mc-grath/DMMFODS
https://github.com/pacharadanait/Densnet_project
https://github.com/paperswithcode/paperswithcode-client
https://github.com/parviagrawal/IdenProf
https://github.com/patientzero/timage-icann2019
https://github.com/paulblum00/ResNet-Recreation
https://github.com/pawelbeza/ClothesDetectorModel
https://github.com/peteryuX/arcface-tf2
https://github.com/phillity/BioCapsule
https://github.com/pikkaay/efficientnet_gpu
https://github.com/pmcgrath249/DMMFODS
https://github.com/pmcgrath249/DeepCVLab
https://github.com/pmcgrath249/DeepCV_Lab
https://github.com/priyankadeybhadra/CNN-on-CIFR
https://github.com/priyavrat-misra/xrays-and-gradcam
https://github.com/pszemraj/BoulderAreaDetector
https://github.com/pudae/tensorflow-densenet
https://github.com/pyaf/DenseNet-MURA-PyTorch
https://github.com/pytorch/vision
https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py
https://github.com/qubvel/efficientnet
https://github.com/qubvel/resnet_152
https://github.com/rafaelmata357/Flower-image-classifier
https://github.com/raghakot/keras-resnet
https://github.com/rahul-t-p/ASVspoof-2019
https://github.com/rahulchaurasiya1/cautious-waddle
https://github.com/rajkumargithub/densenet.mura
https://github.com/rajneeshaggarwal/google-efficientnet
https://github.com/realmichaelye/Skin-Lesions-Classifier-ResNet50
https://github.com/researchmm/SiamDW
https://github.com/rickyHong/tfRecord-Caltech256-repl2
https://github.com/rishabmallick/Sign-language-live-predictor
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.