Zobrazeno 1 - 10
of 300
pro vyhledávání: '"Jeníček, P."'
Publikováno v:
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023, pp. 11153-11163
Image retrieval methods based on CNN descriptors rely on metric learning from a large number of diverse examples of positive and negative image pairs. Domains, such as night-time images, with limited availability and variability of training data suff
Externí odkaz:
http://arxiv.org/abs/2309.16351
Autor:
Papakipos, Zoë, Tolias, Giorgos, Jenicek, Tomas, Pizzi, Ed, Yokoo, Shuhei, Wang, Wenhao, Sun, Yifan, Zhang, Weipu, Yang, Yi, Addicam, Sanjay, Papadakis, Sergio Manuel, Ferrer, Cristian Canton, Chum, Ondrej, Douze, Matthijs
The 2021 Image Similarity Challenge introduced a dataset to serve as a new benchmark to evaluate recent image copy detection methods. There were 200 participants to the competition. This paper presents a quantitative and qualitative analysis of the t
Externí odkaz:
http://arxiv.org/abs/2202.04007
Autor:
Douze, Matthijs, Tolias, Giorgos, Pizzi, Ed, Papakipos, Zoë, Chanussot, Lowik, Radenovic, Filip, Jenicek, Tomas, Maximov, Maxim, Leal-Taixé, Laura, Elezi, Ismail, Chum, Ondřej, Ferrer, Cristian Canton
This paper introduces a new benchmark for large-scale image similarity detection. This benchmark is used for the Image Similarity Challenge at NeurIPS'21 (ISC2021). The goal is to determine whether a query image is a modified copy of any image in a r
Externí odkaz:
http://arxiv.org/abs/2106.09672
We propose an efficient method to learn deep local descriptors for instance-level recognition. The training only requires examples of positive and negative image pairs and is performed as metric learning of sum-pooled global image descriptors. At inf
Externí odkaz:
http://arxiv.org/abs/2007.13172
Publikováno v:
Acta Technologica Agriculturae, Vol 26, Iss 2, Pp 92-98 (2023)
The paper is focused on steel surface processing to ensure an improved adhesion of applied powder layer. Mechanical pre-treatment, chemical pre-treatment and their combination were used to compare their results with each other and to find out the pre
Externí odkaz:
https://doaj.org/article/a72c8d8839dd47d5a2f7481fa8e726a8
Autor:
Jenicek, Tomas, Chum, Ondřej
Image retrieval under varying illumination conditions, such as day and night images, is addressed by image preprocessing, both hand-crafted and learned. Prior to extracting image descriptors by a convolutional neural network, images are photometrical
Externí odkaz:
http://arxiv.org/abs/1908.08999
Autor:
Jenicek, Tomas, Chum, Ondřej
We address the discovery of composition transfer in artworks based on their visual content. Automated analysis of large art collections, which are growing as a result of art digitization among museums and galleries, is an important tool for art histo
Externí odkaz:
http://arxiv.org/abs/1907.03537
Publikováno v:
Acta Technologica Agriculturae, Vol 24, Iss 4, Pp 166-172 (2021)
Biomass is a potential biofuel which may help fighting high carbon dioxide emissions and negative impacts of global warming. Analysis of Norway spruce (Picea abies) and barley (Hordeum vulgare) were performed at the laboratory of Czech University of
Externí odkaz:
https://doaj.org/article/6d274400c05d43068ba60dcefe30c4c5
Publikováno v:
Acta Universitatis Carolinae Geographica, Vol 43, Iss 1, Pp 105-114 (2021)
This article deals with the reconstruction of the dam breach of the Blažňov pond and consequent flood wave progress in the riverbed of the small brook. The dam breach occurred at the night from 28. 3. 2006 to 29. 3. 2006. The cause of the breach wa
Externí odkaz:
https://doaj.org/article/6a963f751ac7427fa0477a746227ad34
Publikováno v:
Metals, Vol 13, Iss 5, p 975 (2023)
Precipitation strengthening in titanium-stabilized austenitic stainless steels can improve the hot yield strength, as requested, e.g., for nuclear industry applications. The resulting properties depend mainly on the parameters of the heat treatment a
Externí odkaz:
https://doaj.org/article/487b5c7d80cd4552b0e952fa30910917