Papers with Code 아카이브

1 Image, 2*2 Stitching

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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/2023-MindSpore-1/ms-code-49

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/2023-MindSpore-1/ms-code-6/tree/main/Pix2PixHD

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/2023-MindSpore-1/ms-code-6/tree/main/Pix2PixHD1

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

https://github.com/2023-MindSpore-1/ms-code-7/tree/main/TokenFusion

Multimodal Token Fusion for Vision Transformers

https://github.com/2023-MindSpore-1/ms-code-7/tree/main/U-GAT-IT

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

https://github.com/2023-MindSpore-4/Code-5/tree/main/lresnet100e_ir

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-4/Code10/tree/main/ResNet

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-4/Code10/tree/main/VGG

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/2023-MindSpore-4/Code11/tree/main/SPADE

Semantic Image Synthesis with Spatially-Adaptive Normalization

https://github.com/2023-MindSpore-4/Code11/tree/main/resnet50_adv_pruning

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-4/Code11/tree/main/ssc_resnet50

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-4/Code11/tree/main/ssd_resnet_34

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-4/Code15/tree/main/wangyikai/TokenFusion

Multimodal Token Fusion for Vision Transformers

https://github.com/2023-MindSpore-4/Code6/tree/main/ReIDStrongBaseline

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/2023-MindSpore-4/Code7/tree/main/StarGAN

StarGAN v2: Diverse Image Synthesis for Multiple Domains

https://github.com/2023-MindSpore-4/Code7/tree/main/ssd_resnet34

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-4/Code7/tree/main/ssd_resnet_34

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-4/Code9/tree/main/ResNet

Deep Residual Learning for Image Recognition

https://github.com/2023-MindSpore-4/Code9/tree/main/VGG

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/2024-MindSpore-1/Code10/tree/main/DRAN

DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/cogvlm

CogVLM: Visual Expert for Pretrained Language Models

https://github.com/2024-MindSpore-1/Code2/tree/main/wangyikai/EIP-mindspore

Multimodal Token Fusion for Vision Transformers

https://github.com/2024-MindSpore-1/Code7/tree/main/centernet_resnet101

Deep Residual Learning for Image Recognition

https://github.com/2024-MindSpore-1/Code7/tree/main/centernet_resnet50_v1

Deep Residual Learning for Image Recognition

https://github.com/3P2S/arcface

Deep Residual Learning for Image Recognition

https://github.com/771979972/Paddle_pSp

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

https://github.com/771979972/paddle-SAM

Only a Matter of Style: Age Transformation Using a Style-Based Regression Model

https://github.com/9310gaurav/ali-pytorch

Adversarially Learned Inference

https://github.com/AIOSYM/dl-model-gallery

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/AKASH2907/Forgery-Classification-via-Domain-Adaptation

Domain-Adversarial Training of Neural Networks

https://github.com/Abhaya1998/Self-Driving-Car

Virtual to Real Reinforcement Learning for Autonomous Driving

https://github.com/AbhinavTalari/Night2Day

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/Adi-iitd/AI-Art

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/Afsaan/CNN-Architectures

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/AhmedAmraniAkdi/BdgetNvidiaGaugan

Semantic Image Synthesis with Spatially-Adaptive Normalization

https://github.com/AhmedAmraniAkdi/BudgetNvidiaGaugan

Semantic Image Synthesis with Spatially-Adaptive Normalization

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