Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR co…

This is a resouce list for low light image enhancement

A white balance algorithm based on dark channel priority.

A curated list of awesome ISP frameworks, papers, libraries, resources, and shiny things.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

A collection of loss functions for medical image segmentation

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

2020年的算法实习岗位/校招公司信息表，和常见深度学习基础知识笔记、算法岗面试题答案，及暑期计算机视觉实习面经和总结。

人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码

MobileNetV3 SSD的简洁版本

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

本项目收集了计算机类常用电子书整理，附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端、TensorFlow、pytorch、keras。NLP、机器学习，深度学习、大数据系列(Spark,Hadoop,Scala,kafka）等书籍

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Bilinear attention networks for visual question answering

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

lightweight and efficient cnn for semantic segmentation, my blog address:

Medical image registration related books, tutorials, papers, datasets, toolboxes and deep learning open source codes

包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识

SIRV-Based High-Resolution PolSAR Image Speckle Suppression via Dual-Domain Filtering

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

Segmentation models with pretrained backbones. Keras.

常用的语义分割架构结构综述以及代码复现

A basic MATLAB library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.

Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei, “Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network,” IEEE TGRS, 2018.

Papers with code. Sorted by stars. Updated weekly.