Pinned Repositories
-EANet
External Attention Network
Anti-UAV
Served as a large-scale multi-modal benchmark, Anti-UAV drives the future research on the frontiers of tracking UAVs in the wild. With the above innovations and contributions, we have organized the CVPR 2020 Workshop on the 1st Anti-UAV Challenge. These contributions together significantly benefit the community.
awesome-attention-mechanism-in-cv
:punch: 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module
Awesome-Vision-Attentions
Summary of related papers on visual attention
Bilibili-plus
课程视频、PPT和源代码:侯捷C++系列;台大郭彦甫MATLAB
C-Concurrence
thread and atomic library
daily_tempolates
daily used templates,such as latex templates
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
efficientdet-pytorch
这是一个efficientdet-pytorch的源码,可以用于训练自己的模型。
External-Attention-pytorch
Pytorch implementation of various Attention Mechanism
MaLiXiaoGuo's Repositories
MaLiXiaoGuo/-EANet
External Attention Network
MaLiXiaoGuo/Anti-UAV
Served as a large-scale multi-modal benchmark, Anti-UAV drives the future research on the frontiers of tracking UAVs in the wild. With the above innovations and contributions, we have organized the CVPR 2020 Workshop on the 1st Anti-UAV Challenge. These contributions together significantly benefit the community.
MaLiXiaoGuo/awesome-attention-mechanism-in-cv
:punch: 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module
MaLiXiaoGuo/Awesome-Vision-Attentions
Summary of related papers on visual attention
MaLiXiaoGuo/Bilibili-plus
课程视频、PPT和源代码:侯捷C++系列;台大郭彦甫MATLAB
MaLiXiaoGuo/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
MaLiXiaoGuo/efficientdet-pytorch
这是一个efficientdet-pytorch的源码,可以用于训练自己的模型。
MaLiXiaoGuo/External-Attention-pytorch
Pytorch implementation of various Attention Mechanism
MaLiXiaoGuo/external_attention.pytorch
A PyTorch implementation of external attention.
MaLiXiaoGuo/FPT
Implementation for paper Feature Pyramid Transformer
MaLiXiaoGuo/g-mlp-pytorch
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
MaLiXiaoGuo/IamOK
My daily code.
MaLiXiaoGuo/img
MaLiXiaoGuo/InterviewGuide
「InterviewGuide」一个收录优质计算机校招、社招面试常见面试题的仓库🔥🔥,以前叫做《逆袭进大厂》。目前已收录 C/C++ 、操作系统、数据结构、计算机网络、MySQL、Redis等面试资料,未来打算继续收录Java、Python、Go等面试常见问题,坚持将此仓库维护下去。
MaLiXiaoGuo/IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)
MaLiXiaoGuo/leetcode-master
LeetCode 刷题攻略:配思维导图,100+经典算法题目刷题顺序、经典算法模板、共40w字的详细图解,以及难点视频题解。按照刷题攻略上的顺序来刷题,让你在算法学习上不再迷茫!🔥🔥给个star支持一下吧!🚀
MaLiXiaoGuo/NanoDet-PyTorch
基于NanoDet项目进行小裁剪,专门用来实现PyTorch 版本的代码,下载直接能使用,支持图片、视频文件、摄像头实时目标检测。
MaLiXiaoGuo/Non-local_pytorch
Implementation of Non-local Block.
MaLiXiaoGuo/pig-instance-segmentation
This is the implementation code of our paper named Dual Attention-guided Feature Pyramid Network for Instance Segmentation of Group Pigs (Under Reviewer)
MaLiXiaoGuo/pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
MaLiXiaoGuo/Retinanet-Pytorch
Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)
MaLiXiaoGuo/ScaledYOLOv4
:fire::fire::fire: Scaled-YOLOv4训练自己的数据集详细教程PDF,关于paper解读请联系小编获取PDF文档
MaLiXiaoGuo/ShiYanLou
学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试
MaLiXiaoGuo/SimpleCVReproduction
:punch: Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.
MaLiXiaoGuo/SmallObjectDetectionList
List of the Papers Addressing Vision-based Small Object Detection
MaLiXiaoGuo/Sparse_rcnn_without_detectron2
MaLiXiaoGuo/start-scaled-yolov4
Start Scaled YOLOv4
MaLiXiaoGuo/tutorials
PyTorch tutorials.
MaLiXiaoGuo/vedadet
A single stage object detection toolbox based on PyTorch
MaLiXiaoGuo/vision
Datasets, Transforms and Models specific to Computer Vision