https://github.com/pbaylies/stylegan-encoder
Very Deep Convolutional Networks for Large-Scale Image Recognition
Papers with Code 아카이브
1 Image, 2*2 Stitching
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pcummer/cycle-gan-keras
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/peteryuX/arcface-tf2
https://github.com/pgdelbosque/GAN-MRI
https://github.com/phaxiong101/P_xiong
https://github.com/philip-brohan/weather2weather
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/phillity/BioCapsule
https://github.com/phiresky/pandoc-url2cite
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/pikkaay/efficientnet_gpu
https://github.com/pohlinwei/AComPianist
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/pokurin123/pix2pix_try
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/pooriyasafaei/cityscapes_pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/pothabattulasantosh/Detection-of-face-Manipulated-videos
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/pothabattulasantosh/Detection-of-facial-Manipulated-videos
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/prakashpandey9/BicycleGAN
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/preetam1997/Self-Driven-Car
Virtual to Real Reinforcement Learning for Autonomous Driving
https://github.com/priyavrat-misra/xrays-and-gradcam
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/pscmap13/pix2pix
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/pszemraj/BoulderAreaDetector
https://github.com/pwc-1/Paper-9/tree/main/instructblip
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
https://github.com/pytorch/vision
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/qiujihao19/artemis
https://github.com/qubvel/efficientnet
https://github.com/qubvel/resnet_152
https://github.com/quickjkee/eff-diff-edit
Navigating the GAN Parameter Space for Semantic Image Editing
https://github.com/r00tsyst3m/snp
https://github.com/r06922019/butt_lion_paper_notes
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/racinmat/anime-style-transfer
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/rafaelmata357/Flower-image-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raferguson/CNN-Profile-Picture
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raghakot/keras-resnet
https://github.com/raguilar-f/Thermal-Face-Recognition-Using-Convolutional-Neural-Networks-and-Transfer-Learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raguilar-f/Thermal-face-recognition-using-transfer-learning
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/rahul-t-p/ASVspoof-2019
https://github.com/rahul263-stack/Self-Driving-Car
Virtual to Real Reinforcement Learning for Autonomous Driving
https://github.com/rahulchaurasiya1/cautious-waddle
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.