A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods and Hardware.
Here you can find all posts materials.
Application of Deep Learning in Sports and similarities with the Self-Drivind field.
An approach to generate camera calibration values from football broadcast videos.
Benchmark results of GTX 1080 TI, RTX 2080Ti, 3090 and 4090 on DL tasks.
Balancing temporal and spatial losses for simultenious training of multi-task neural networks for video processing and some data tips.
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.