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2020_algorithm_intern_information

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。

3dmmasstn

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

auto_white_balance

A white balance algorithm based on dark channel priority.

awesome-ai-algorithm

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

awesome-isp

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

awesome-low-light-image-enhancement

This is a resouce list for low light image enhancement

awesome-sar

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

ban-vqa

Bilinear attention networks for visual question answering

book

:green_book:我的个人书籍学习和收藏

caen_hcrf

High Resolution SAR image classification

classifiertoolbox

A MATLAB toolbox for classifier: Version 1.0.7

conditional_random_fields_based_point_cloud_segmentation

covariancetoolbox

Covariance toolbox for matlab, including riemannian geometry

dbcnn

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

dcgan-matconvnet

Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)

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15个章节，近20万字。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

demo_mcms

MCMs for TGRS 2018

dive-into-dl-pytorch

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。

fine-tuning-a-pre-trained-cnn-for-first-year-sea-ice-and-multi-year-sea-ice-cp-imagery-classificatio

Mapping first-year sea ice and multi-year sea ice in the oceans is significant for many applications. For example, ship navigation and weather forecast. Accurate and robust classification methods of multi-year ice and first-year ice are in demand [2]. Hybrid-polarity SAR architecture will be included in future SAR missions such as the Canadian RADARSAT Constellation Mission (RCM). These sensors will enable the use of compact polarimetry (CP) data in wide swath imagery [1]. Convolutional neural networks (CNNs) are becoming increasingly popular in many research communities due to availability of large image datasets and high-performance computing systems. As Convolutional networks (ConvNets) have achieved great success on many image classification tasks, I pursue this method for the classification of image patches from compact polarimety (CP) imagery into first-year ice and multi-year ice is applicable. In this course project, my work is kind of like the first practice of the CP imagery classification by fine-tuning a pre-trained convolutional neural network (CNN). Specifically, fine-tuning the last fully-connected layer of a pre-trained convolutional networks, I extract patches from simulated CP images as my dataset, the classification accuracy of the test set achieved 91.3% by fine-tuning a pre-trained CNN, compared to 49.4% classification accuracy by training from scratch.

glcic-pytorch

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

gwpf_polsar_detetion

One saliency detection method for PolSAR image based on GLOBALLY WEIGHTED PERTURBATION FILTERS

interview-notebook

:books: 技术面试需要掌握的基础知识整理

interview-notes

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

isp-guide

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 correction, and image sharpening with a Specialized type of media processor.

matconvnet-calvin

Code for several state-of-the-art papers in object detection and semantic segmentation.

matlab-gan

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

matlab_sar

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

medical-image-registration-resources

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

ml-nlp

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。