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Published on
March 2, 2020
Multi-task Self-Supervised Visual Learning (Aug 2017)
research-notes machine-learning self-supervised-learning
Old paper but since there was some breakthrough in self-supervised learning, I'm studying deeper this topic recently.
Published on
January 21, 2020
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation (Sep 2018)
research-notes machine-learning
Great paper! Very pragmatic and it works well!
Published on
January 16, 2020
Deep Contextual Networks for Neuronal Structure Segmentation (Feb 2016)
research-notes machine-learning
Other notes that I took from the papers I read for my project in Medical Image Segmentation. It's not a variation of UNet.
Published on
December 14, 2019
Semantic Segmentation with tf.data in TensorFlow 2 and ADE20K dataset
tutorial tensorflow semantic-segmentation
In this article, I'm going to cover the usage of TensorFlow 2 and tf.data on a popular semantic segmentation 2D images dataset: ADE20K. This code is now runnable on colab.
Published on
December 11, 2019
U-Net: Convolutional Networks for Biomedical Image Segmentation (May 2015)
research-notes machine-learning
I'm currently working on a biomedical 2D image segmentation project so I'm reading all related papers. I took some notes and here is the first of the series. UNet, a very popular architecture.