Zobrazeno 1 - 10
of 5 719
pro vyhledávání: '"Visual descriptors"'
Autor:
Graf, Christian, Adrian, David B., Weil, Joshua, Gabriel, Miroslav, Schillinger, Philipp, Spies, Markus, Neumann, Heiko, Kupcsik, Andras
We propose a self-supervised training approach for learning view-invariant dense visual descriptors using image augmentations. Unlike existing works, which often require complex datasets, such as registered RGBD sequences, we train on an unordered se
Externí odkaz:
http://arxiv.org/abs/2209.05213
Autor:
Ng, Tony, Kim, Hyo Jin, Lee, Vincent, DeTone, Daniel, Yang, Tsun-Yi, Shen, Tianwei, Ilg, Eddy, Balntas, Vassileios, Mikolajczyk, Krystian, Sweeney, Chris
In the light of recent analyses on privacy-concerning scene revelation from visual descriptors, we develop descriptors that conceal the input image content. In particular, we propose an adversarial learning framework for training visual descriptors t
Externí odkaz:
http://arxiv.org/abs/2112.12785
We study the use of deep features extracted from a pretrained Vision Transformer (ViT) as dense visual descriptors. We observe and empirically demonstrate that such features, when extractedfrom a self-supervised ViT model (DINO-ViT), exhibit several
Externí odkaz:
http://arxiv.org/abs/2112.05814
Akademický článek
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Autor:
Thyagharajan, K. K., Raji, I. Kiruba
Publikováno v:
Sept. 2019
Plants are fundamentally important to life. Key research areas in plant science include plant species identification, weed classification using hyper spectral images, monitoring plant health and tracing leaf growth, and the semantic interpretation of
Externí odkaz:
http://arxiv.org/abs/2009.06001
Phishing, a continuously growing cyber threat, aims to obtain innocent users' credentials by deceiving them via presenting fake web pages which mimic their legitimate targets. To date, various attempts have been carried out in order to detect phishin
Externí odkaz:
http://arxiv.org/abs/1905.07767
Akademický článek
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Finding local correspondences between images with different viewpoints requires local descriptors that are robust against geometric transformations. An approach for transformation invariance is to integrate out the transformations by pooling the feat
Externí odkaz:
http://arxiv.org/abs/1911.05932
Many robotics applications require precise pose estimates despite operating in large and changing environments. This can be addressed by visual localization, using a pre-computed 3D model of the surroundings. The pose estimation then amounts to findi
Externí odkaz:
http://arxiv.org/abs/1809.01019
Autor:
Rayar, Frédéric
ImageNet is a large scale and publicly available image database. It currently offers more than 14 millions of images, organised according to the WordNet hierarchy. One of the main objective of the creators is to provide to the research community a re
Externí odkaz:
http://arxiv.org/abs/1702.00187