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