Selection of research articles

These are some of the best resources for aquiring basic knowledge, which I came across while working on Computer Vision

WhatTypeAuthor(s)Link

Good overview of image segmentation research and algorithms

blog post

some company

https://nanonets.com/blog/semantic-image-segmentation-2020/

Stanford CS231n

course

Fei Fei Lin

http://cs231n.stanford.edu/slides/

Fully Convolutional Networks for Semantic Segmentation

paper

never heard of

https://arxiv.org/abs/1411.4038

U-Net: Convolutional Networks for Biomedical Image Segmentation

paper

never heard of

https://arxiv.org/abs/1505.04597

understand convolution layer

video

Andrew Ng

https://www.youtube.com/watch?v=jPOAS7uCODQ&ab_channel=DeepLearningAI

A cleaner explanation of main points from the FCN paper

blog post

some Phd student (Sik-Ho Tsang)

https://towardsdatascience.com/review-fcn-semantic-segmentation-eb8c9b50d2d1

Sik-Ho Tsang - reading list

list of important topics in Computer Vision and link to papers

Sik-Ho Tsang

https://sh-tsang.medium.com/overview-my-reviewed-paper-lists-tutorials-946ce59fbf9e

list of Medium articles where he reviews papers

Sik-Ho Tsang

https://sh-tsang.medium.com/

all you need to know about convolutional layers

blog post

Machine learning mastery

https://machinelearningmastery.com/convolutional-layers-for-deep-learning-neural-networks/

very good intuitive explanation of upsampling through transposed convolutions

blog post

some company

https://medium.com/apache-mxnet/transposed-convolutions-explained-with-ms-excel-52d13030c7e8

A guide to convolution arithmetic for deep learning

book(let)

researchers

https://arxiv.org/pdf/1603.07285.pdf

good overview of computer vision tasks

blog post

https://towardsdatascience.com/understanding-semantic-segmentation-with-unet-6be4f42d4b47

compute conv layers output size (regular, transposed, stride, padding)

blog post

http://makeyourownneuralnetwork.blogspot.com/2020/02/calculating-output-size-of-convolutions.html

AI GIS library

library website with documentation and AI models and methods explained

https://developers.arcgis.com/python/guide/how-unet-works/

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