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cirr

ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

cld-unsupervisedlearning

Pytorch implementation for "Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination." (CVPR 2021)

clip

Contrastive Language-Image Pretraining

cmpc-refseg

Code for Referring Image Segmentation via Cross-Modal Progressive Comprehension, CVPR2020

code_cmap

Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval

cogdl

CogDL: An Extensive Research Toolkit for Graphs

cogview

Text-to-Image generation

compgcn

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

computer-science-cn

🎓计算机技术与科学自学之旅

config

Config and log

convit

Code for the Convolutional Vision Transformer (ConViT)

convnext-v2

Code release for ConvNeXt V2 model

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

covid-net

COVID-Net Open Source Initiative

cross-modal_retrieval_tutorial

The Paper List of Image-Text Matching for Preliminary Insight.

crossstagepartialnetworks

Cross Stage Partial Networks

csra

Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"

cv

本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络，图像生成网络等，并会持续更新！！！

cv_interviews_q-a

CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

cv_papers

计算机视觉方面的分类、对象检测、图像分割、人脸检测、OCR等中文翻译

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

cvpr20_imcl

cvpr20_lesa

cxmooc-tools

一个超星(学习通)和智慧树(知到)刷课工具,火狐,谷歌,油猴支持.全自动任务,视频倍速秒过,作业考试题库,验证码自动打码(੧ᐛ੭挂科模式,启动)

d-mixup

Implement of "Dynamic Mixup for Multi-Label Long-Tailed Food Ingredient Recognition"

dab-detr

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

dagcn

Dual Attention Graph Convolutional Network

dataset

医学影像数据集列表

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06