Papers with Code 아카이브

Breast Tumour Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 1
보존된 평가 기록: 15

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mindspore-courses/External-Attention-MindSpore/blob/main/model/backbone/resnet.py

Deep Residual Learning for Image Recognition

https://github.com/mindspore-courses/MindSpore-classification

Deep Residual Learning for Image Recognition

https://github.com/mindspore-courses/heads-on-mindspore/tree/main/1-best-practice/models

Deep Residual Learning for Image Recognition

https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/densenet.py

Densely Connected Convolutional Networks

https://github.com/mindspore-ecosystem/mindcv/blob/main/mindcv/models/resnet.py

Deep Residual Learning for Image Recognition

https://github.com/minggli/DenseNet

Densely Connected Convolutional Networks

https://github.com/mingxingtan/efficientnet

Deep Residual Learning for Image Recognition

https://github.com/miraclewkf/densenet

Densely Connected Convolutional Networks

https://github.com/mlvccn/bmtc_transferattackvid

Deep Residual Learning for Image Recognition

https://github.com/mminamina/Transfer_Learning_NaimishNet---Keypoints_Detection

Deep Residual Learning for Image Recognition

https://github.com/mminamina/Transfer_Learning_ResNet18---Keypoints_Detection

Deep Residual Learning for Image Recognition

https://github.com/mnguyen0226/image-augmentation-dnn-performance

Deep Residual Learning for Image Recognition

https://github.com/mobilesec/arcface-tensorflowlite

Deep Residual Learning for Image Recognition

https://github.com/moddy2024/resnet-9

Deep Residual Learning for Image Recognition

https://github.com/modelhub-ai/densenet

Densely Connected Convolutional Networks

https://github.com/mr-bulb/DL_basic_github

Deep Residual Learning for Image Recognition

https://github.com/mrkolarik/3d-brain-segmentation

Densely Connected Convolutional Networks

https://github.com/mrzzy/np-dl-assign-1

Deep Residual Learning for Image Recognition

https://github.com/mszpc/resnet18

Deep Residual Learning for Image Recognition

https://github.com/muditrastogi/chestai

Densely Connected Convolutional Networks

https://github.com/musifahamran/FYP

Deep Residual Learning for Image Recognition

https://github.com/nashawnch/Computer-Vision-FerrariDetective

Densely Connected Convolutional Networks

https://github.com/nashawnch/ComputerVision-FerrariDetective

Densely Connected Convolutional Networks

https://github.com/ndb796/pytorch-adversarial-training-cifar

Deep Residual Learning for Image Recognition

https://github.com/nicolalandro/Padam

Deep Residual Learning for Image Recognition

https://github.com/niranjana98/Image-Classification

Densely Connected Convolutional Networks

https://github.com/noahfl/densenet-sdr

Densely Connected Convolutional Networks

https://github.com/northeastsquare/effficientnet

Deep Residual Learning for Image Recognition

https://github.com/nsom/Basic-Models

Deep Residual Learning for Image Recognition

https://github.com/nsom/VGG16

Deep Residual Learning for Image Recognition

https://github.com/ntrin/CIFAR_10_ML

Deep Residual Learning for Image Recognition

https://github.com/ojas97/roteqnetp3

Rotation equivariant vector field networks

https://github.com/okason97/DenseNet-Tensorflow2

Densely Connected Convolutional Networks

https://github.com/okason97/handshape-recognition

Densely Connected Convolutional Networks

https://github.com/ollewelin/libtorch-GPU-CNN-test-MNIST-with-Batchnorm

Deep Residual Learning for Image Recognition

https://github.com/open-mmlab/mmclassification

Deep Residual Learning for Image Recognition

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.