https://github.com/semi0612/cat_and_dog_vgg
Very Deep Convolutional Networks for Large-Scale Image Recognition
Papers with Code 아카이브
1 Image, 2*2 Stitching
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/seongilp/DFE604-2020F-FinalProject
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/septmars/DL
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/seqam-lab/GPDA
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
https://github.com/sergeisoly/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/serre-lab/gala_tpu
https://github.com/seyrankhademi/ResNet_CIFAR10
https://github.com/sgrvinod/a-pytorch-tutorial-to-super-resolution
https://github.com/shao-chi/ImageCaption
https://github.com/shaoanlu/fewshot-face-translation-GAN
Semantic Image Synthesis with Spatially-Adaptive Normalization
https://github.com/shaominghe/stargan_adience
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/shijianjian/efficientnet-pytorch-3d
https://github.com/shikhadahiya/Image-to-image-translation-using-C-GAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/shiming-chen/CDE-GAN
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
https://github.com/shinseung428/simGAN_NYU_Hand
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/shivammehta25/Matcha-TTS
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
https://github.com/shoaibahmed/CrossLayerPooling
https://github.com/shoji9x9/CIFAR-10-By-small-ResNet
https://github.com/shoji9x9/Fashion-MNIST-By-ResNet
https://github.com/shreshtashetty/CycleGANPhototoMonet
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/shreyasrajesh/DA-Object-Detection
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/shridhivyah/starGAN
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/shtnkgm/VisionFrameworkSample
https://github.com/shuliyao/GANimation_TL
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/siddharthbhonge/Neural_Style_transfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sidify/resnet_focal_loss
https://github.com/sidneykingsley/fyp
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/sidneykingsley/pix2pix-tensorflow
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/sigtot/unet-auto
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/silgena/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/silvandeleemput/memcnn
Reversible GANs for Memory-efficient Image-to-Image Translation
https://github.com/simo-bat/Crack_detection
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/singh-shakti94/Deep-Learning-Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sitegui/ceci-nest-pas-un-chat
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/sitharakannan/inf
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/skabbit/pix2pix-webcam
Image-to-Image Translation with Conditional Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.