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convunext

corrmatch

Official code for "CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation"

cotta

[CVPR 2022] CoTTA Code for our paper Continual Test-Time Domain Adaptation

covid-19-prediction

Predicting the Growth and Trend of COVID-19 Pandemic using Machine Learning and Cloud Computing

cplusplus

《C++新标准C++11_14》侯捷老师课件整理

cpp-tutorial

C++ 教程

cpp_new_features

2021年最新整理， C++ 学习资料，含C++ 11 / 14 / 17 / 20 / 23 新特性、入门教程、推荐书籍、优质文章、学习笔记、教学视频等

crf-efficientunet

crossvit-pytorch

Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

csdn_spider

Crawl csdn articles in md format

cuda_freshman

cuda_learn

cuda_learn_lixiang

cuda learn

customer_experiment4

SSM框架整合，基于Maven

cutmix-semisup-seg

Semi-supervised semantic segmentation needs strong, varied perturbations

cv_rebuttal_template

cv_resume

A latex cv/resume template.

cvpr2023-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

cwt-for-fss

Official code for "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV2021".

cwt-for-fss-1

da-retinanet

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

daeformer

DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

dag4mia

Domain Adaptation and Generalization for Medical Image Analysis

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

darl

Official repository of "Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation", ICLR 2023.

date

dconnnet

Codes for CVPR2023 paper "Directional Connectivity-based Segmentation of Medical Images"

ddos-attack

DDos-Attack Is A Python script online Attack

decoder-denoising

Pytorch reimplementation of Decoder Denoising Pretraining for Semantic Segmentation

decoupled-contrastive-learning

This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.