Computer vision
Computer vision related stuff
Spark in me - annual retrospective 2018
Spark in me - annual retrospective 2018
Posted by snakers41 on December 29, 2018
Solving class imbalance on Google open images
Or potentially building a model cascade to alleviate severe class imbalance
Posted by snakers41 on July 23, 2018
Playing with Crowd-AI mapping challenge - or how to improve your CNN performance with self-supervised techniques
A small case for searching for internal structure within the data, weighting and training your CNNs properly
Posted by snakers41 on July 15, 2018
Playing with Variational Auto Encoders - PCA vs. UMAP vs. VAE on FMNIST / MNIST
TLDR - they are very cool - but useful only on very simple domains and datasets
Posted by snakers41 on July 7, 2018
Playing with adversarial attacks on Machines Can See 2018 competition
Or how I ended up in a team that won in the Machines Can See 2018 adversarial competition
Posted by snakers41 on June 9, 2018
Exploring the limits of unsupervised Machine Learning in Computer Vision
Or continuation of flat saga (there is no free lunch indeed)
Posted by snakers41 on April 29, 2018
Applying Deep Watershed Transform to Kaggle Data Science Bowl 2018 (dockerized solution)
And why this competition was a lottery
Posted by snakers41 on April 16, 2018
Playing with electricity - forecasting 5000 time series
Applying random forests and deep encoder-decoder RNNs to time series prediction
Posted by snakers41 on April 8, 2018
How we participated in SpaceNet three Road Detector challenge
And how we got into top 10 =)
Posted by snakers41 on February 7, 2018