11 citations · 11 across the 2 of their papers we have counts for
3 papers
Learning High-Resolution Domain-Specific Representations with a GAN Generator
Danil Galeev, Konstantin Sofiiuk, Danila Rukhovich +3
In recent years generative models of visual data have made a great progress, and now they are able to produce images of high quality and diversity. In this work we study representa…
IterDet: Iterative Scheme for Object Detection in Crowded Environments
Danila Rukhovich, Konstantin Sofiiuk, Danil Galeev +2
Deep learning-based detectors usually produce a redundant set of object bounding boxes including many duplicate detections of the same object. These boxes are then filtered using n…
MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge
Danila Rukhovich, Danil Galeev
We present a domain adaptation (DA) system that can be used in multi-source and semi-supervised settings. Using the proposed method we achieved 2nd place on multi-source track and…