roger-cv

roger-cv's Stars

• starcwang/easy_javadoc

  IntelliJ IDEA 插件，自动生成javadoc文档注释

  Language:Java2.7k135

• yudaocode/SpringBoot-Labs

  一个涵盖六个专栏：Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、Dubbo、分布式消息队列、分布式事务的仓库。希望胖友小手一抖，右上角来个 Star，感恩 1024

  Language:Java19k6k

• macrozheng/mall

  mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

  Language:Java77.5k28.7k

• dongzhang89/FPT

  Implementation for paper: Feature Pyramid Transformer

  Language:Python40062

• Elroborn/awesome-face-anti-spoofing

  😎 face anti-spoofing releated algorithm, dataset and paper

  439

• Elroborn/DFA

  Language:Python85

• Ontheway361/antispoof-single-image

  [2020-arXiv]Learning Generalized Spoof Cues for Face Anti-spoofing

  Language:Python299

• roger-cv/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  1

• Vincent9797/Attention-Based-Two-Stream-Convolutional-Networks-for-Face-Spoofing-Detection

  Language:Python125

• ceciliavision/perceptual-reflection-removal

  Single Image Reflection Separation with Perceptual Losses

  Language:Python40478

• BUserName/Learning_to_diversify

  Language:Python8111

• cleardusk/MFR

  Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

  14716

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k45.5k

• d-li14/involution

  [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

  Language:Python1.3k177

• houqb/CoordAttention

  Code for our CVPR2021 paper coordinate attention

  Language:Python1k123

• 52CV/CVPR-2021-Papers

  2.5k312

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook21.1k11.6k

• chefyuan/algorithm-base

  一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com

  10.6k1.6k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.2k1.4k

• easezyc/deep-transfer-learning

  A collection of implementations of deep domain adaptation algorithms

  Language:Python885204

• KaiyangZhou/pytorch-center-loss

  Pytorch implementation of Center Loss

  Language:Python961219

• louis-she/center-loss.pytorch

  center loss for face recognition

  Language:Python17739

• frank-xwang/towards-universal-object-detection

  [CVPR 2019] Pytorch implementation for "Towards Universal Object Detection by Domain Attention."

  Language:Python7518

• amber0309/Domain-generalization

  All about domain generalization

  830125

• donggong1/memae-anomaly-detection

  MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

  Language:Python466103

• Onr/Council-GAN

  Implementation for our paper Breaking the Cycle - Colleagues are all you need (CVPR 2020)

  Language:Python26433

• DeLightCMU/RSC

  This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

  Language:Python16018

• nekitmm/FunnelAct_Pytorch

  pytorch implementation of Funnel Activation (FReLU)

  Language:Python162

• daixiangzi/Grad_Cam-pytorch-resnet50

  Class activate map

  Language:Python227

• yizt/Grad-CAM.pytorch

  pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

  Language:Python720166