船长关于机器学习、计算机视觉和工程技术的总结和分享

Personal blog

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

船长关于机器学习、计算机视觉和工程技术的总结和分享

《统计学习方法》笔记-基于Python算法实现

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

《统计学习方法》的代码实现

An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程。

Java后端知识图谱🔥 帮助Java初学者成长

程序员技能图谱

🇨🇳 GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

Must-read papers on graph neural networks (GNN)

YOLOv3 detector with quadrangle in PyTorch

You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery

Caffe: a fast open framework for deep learning.

A technical report on convolution arithmetic in the context of deep learning

R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

Feature Pyramid Networks for Object Detection

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

using SSD and caffe detect traffic lights on LISA dataset

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

faster-rcnn c++ python model