Search Results for author: Nikita Smetanin

Found 3 papers, 1 papers with code

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

1 code implementation24 May 2024 Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski

This manual process has some limitations similar to those encountered in supervised learning, e. g., the crowd-sourced selection of data is costly and time-consuming, preventing scaling the dataset size.

Clustering Self-Supervised Learning

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos

no code implementations CVPR 2022 David Novotny, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi

Compared to weaker deformation models, this significantly reduces the reconstruction ambiguity and, for dynamic objects, allows Keypoint Transporter to obtain reconstructions of the quality superior or at least comparable to prior approaches while being much faster and reliant on a pre-trained monocular depth estimator network.

3D Reconstruction Depth Estimation +2

Avoiding Echo-Responses in a Retrieval-Based Conversation System

no code implementations15 Dec 2017 Denis Fedorenko, Nikita Smetanin, Artem Rodichev

Retrieval-based conversation systems generally tend to highly rank responses that are semantically similar or even identical to the given conversation context.

Retrieval

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