violet998 Goto Github PK

-intracranial-hemorrhage-segmentation-using-deep-convolutional-model-u-net-

aib

Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021

asap

Program for the analysis and visualization of whole-slide images in digital pathology

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

automated-cardiac-segmentation-and-disease-diagnosis

Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers

awesome-few-shot-image-generation

A curated list of papers, code and resources pertaining to few-shot image generation

awesome-image-translation

A collection of awesome resources image-to-image translation.

awesome-mlp-papers

Recent Advances in MLP-based Models (MLP is all you need!)

awesome-self-supervised-papers

Paper bank for Self-Supervised Learning

awesome-transformer-for-vision

awesome-vision-attentions

Summary of related papers on visual attention

awesome-visual-representation-learning-with-transformers

Awesome Transformers (self-attention) in Computer Vision

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

cardiacsegmentationpropagation

ccl

clsa

official implemntation for "Contrastive Learning with Stronger Augmentations"

contrastive-reconstruction

Tensorflow-keras implementation for Contrastive Reconstruction (ConRec) : a self-supervised learning algorithm that obtains image representations by jointly optimizing a contrastive and a self-reconstruction loss.

cswin-transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped

cvpr-2021-papers

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

da-sac

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

dannet

(CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

dasr

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

dclgan

Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021.

dsmil-wsi

DSMIL: Multiple instance learning networks for tumor detection in Whole Slide Image

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fedma

Code for Federated Learning with Matched Averaging, ICLR 2020.

flatclr

FlatNCE: A Novel Contrastive Representation Learning Objective