1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data
Nikolay Patakin, Mikhail Romanov, Anna Vorontsova +2
Nowadays, robotics, AR, and 3D modeling applications attract considerable attention to single-view depth estimation (SVDE) as it allows estimating scene geometry from a single RGB…
cs.CV2023★ 1 cited
Independent Component Alignment for Multi-Task Learning
Dmitry Senushkin, Nikolay Patakin, Arseny Kuznetsov +1
In a multi-task learning (MTL) setting, a single model is trained to tackle a diverse set of tasks jointly. Despite rapid progress in the field, MTL remains challenging due to opti…