A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is Self-Driving Car Technology and Deep Learning.
Comparation of Nvidia RTX 2080 Ti with GTX 1080 Ti and 1070.
A gold medal solution of the TGS Salt Identification Challenge.
Kaggle Challenge to segment salt deposits beneath the Earth's surface on seismic images.
How to increase inference speed on a semantic segmentation task and further ideas.
A CNN approach used for multiclass semantic segmentation during the Lyft Perception Challenge.
A partnered Lyft and Udacity semantic segmentation challenge with synthetic images.
An approach how to increase your position on a leaderpoard in a classification datascience competition by balancing predictions.
Ideas and approach to the Kaggle IEEE's Signal Processing Society - Camera Model Identification challenge.
A set of instruction to run a modern version of the deep learning framework TensorFlow on AMD Ryzen.
VGG16-based fully convolutional networks for semantic segmentation of images on Cityscapes
Application of a linear SVM for image classification with HOG, binned color and color histogram features.
Computer vision approach for road marking detection with adaptive thresholds and positions of virtual sensors.
Convert a normal image to a Bird's Eye view projection with OpenCV.
A simple way to calibrate an optical system with a chessboard pattern by means of the OpenCV to reduce distortion.
An approximate approach to find an equidistant curve for a given polynomial.