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/JL321/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JONGSKY/paper
https://github.com/JPlin/MSGAN
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
https://github.com/JaidedAI/EasyOCR
https://github.com/James-Gilbert-/medical-deep-learning
https://github.com/James-Gilbert-/pneumonia-detection
https://github.com/JanMarcelKezmann/Residual-Network-Architectures
https://github.com/Janspiry/Palette-Image-to-Image-Diffusion-Models
https://github.com/JaryV/CycleGAN_OldYoung
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Jay0505/CycleGAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JayPatwardhan/ResNet-PyTorch
https://github.com/JeansonYang/VGG16-MindSpore
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Jeff860530/ADDA
https://github.com/JeongHyunJin/Pix2PixHD
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/Jeongyun-Lee-0423/Classification
https://github.com/JesonZhang822/Dogs-VS-Cats-Project
https://github.com/JeyesHan/P2LR
https://github.com/Jinsung-Jeon/DomainAdaptation
https://github.com/Jinsung-Jeon/Unsupervised-Domain-Adaptation-Through-Self-Supervision
https://github.com/JobQiu/hackrice
Image-to-Image Translation with Conditional Adversarial Networks
https://github.com/JoeTracey/Portfolio
https://github.com/JohanYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JohanZYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/Jopapy19/CNN-App
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/JorisRoels/domain-adaptive-segmentation
https://github.com/JuanCasian/ML-Speech-Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/JuliaWolleb/diffusion-anomaly
https://github.com/Justin-Tan/generative-compression
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/KU-CVLAB/MIDMs
Cross-domain Correspondence Learning for Exemplar-based Image Translation
https://github.com/KaimingHe/deep-residual-networks
https://github.com/Kal213/StarGAN-Tutorial-Tensorflow-2.3
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
https://github.com/Kalyan0821/NST
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Kalyan0821/myelinfoundry-challenge
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/KarT1994/EmnistRecognizer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/KarimaCha/CNN_Trust_Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.