Search Results for author: Konstantin Sofiiuk

Found 7 papers, 6 papers with code

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

6 code implementations12 Feb 2021 Konstantin Sofiiuk, Ilia A. Petrov, Anton Konushin

We find that the models trained on a combination of COCO and LVIS with diverse and high-quality annotations show performance superior to all existing models.

Interactive Segmentation

Learning High-Resolution Domain-Specific Representations with a GAN Generator

1 code implementation18 Jun 2020 Danil Galeev, Konstantin Sofiiuk, Danila Rukhovich, Mikhail Romanov, Olga Barinova, Anton Konushin

Based on this finding, we propose LayerMatch scheme for approximating the representation of a GAN generator that can be used for unsupervised domain-specific pretraining.

Semi-Supervised Semantic Segmentation Vocal Bursts Intensity Prediction

Foreground-aware Semantic Representations for Image Harmonization

1 code implementation1 Jun 2020 Konstantin Sofiiuk, Polina Popenova, Anton Konushin

Image harmonization is an important step in photo editing to achieve visual consistency in composite images by adjusting the appearances of foreground to make it compatible with background.

Image Harmonization

IterDet: Iterative Scheme for Object Detection in Crowded Environments

1 code implementation12 May 2020 Danila Rukhovich, Konstantin Sofiiuk, Danil Galeev, Olga Barinova, Anton Konushin

Deep learning-based detectors usually produce a redundant set of object bounding boxes including many duplicate detections of the same object.

object-detection Object Detection

f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation

3 code implementations CVPR 2020 Konstantin Sofiiuk, Ilia Petrov, Olga Barinova, Anton Konushin

We propose f-BRS (feature backpropagating refinement scheme) that solves an optimization problem with respect to auxiliary variables instead of the network inputs, and requires running forward and backward pass just for a small part of a network.

Interactive Segmentation

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