14 citations · 52 across the 9 of their papers we have counts for
4 papers · 1 filter
RPGAN: GANs Interpretability via Random Routing
Andrey Voynov, Artem Babenko
In this paper, we introduce Random Path Generative Adversarial Network (RPGAN) -- an alternative design of GANs that can serve as a tool for generative model analysis. While the la…
Impostor Networks for Fast Fine-Grained Recognition
Vadim Lebedev, Artem Babenko, Victor Lempitsky
In this work we introduce impostor networks, an architecture that allows to perform fine-grained recognition with high accuracy and using a light-weight convolutional network, maki…
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
Dmitry Baranchuk, Artem Babenko, Yury Malkov
This work addresses the problem of billion-scale nearest neighbor search. The state-of-the-art retrieval systems for billion-scale databases are currently based on the inverted mul…
Pairwise Quantization
Artem Babenko, Relja Arandjelović, Victor Lempitsky
We consider the task of lossy compression of high-dimensional vectors through quantization. We propose the approach that learns quantization parameters by minimizing the distortion…