11 citations · 20 across the 4 of their papers we have counts for
4 papers
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification
Kirill Prokofiev, Vladislav Sovrasov
Multi-label image classification allows predicting a set of labels from a given image. Unlike multiclass classification, where only one label per image is assigned, such a setup is…
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems
Kirill Prokofiev, Vladislav Sovrasov
Nowadays deep learning-based methods have achieved a remarkable progress at the image classification task among a wide range of commonly used datasets (ImageNet, CIFAR, SVHN, Calte…
Open Images V5 Text Annotation and Yet Another Mask Text Spotter
Ilya Krylov, Sergei Nosov, Vladislav Sovrasov
A large scale human-labeled dataset plays an important role in creating high quality deep learning models. In this paper we present text annotation for Open Images V5 dataset. To o…
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning
Vladislav Sovrasov, Dmitry Sidnev
This work considers the problem of domain shift in person re-identification.Being trained on one dataset, a re-identification model usually performs much worse on unseen data. Part…