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