Results 1 to 10 of about 109,762 (253)
A dataset for evaluating one-shot categorization of novel object classes [PDF]
With the advent of deep convolutional neural networks, machines now rival humans in terms of object categorization. The neural networks solve categorization with a hierarchical organization that shares a striking resemblance to their biological ...
Yaniv Morgenstern +2 more
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Class-agnostic Object Detection [PDF]
To appear in Proceedings of WACV ...
JAISWAL AYUSH +3 more
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Traduction automatique et désambiguïsation des sens des mots. Le cas du verbe français louer
Machine translators such as those offered by Google, Deep, ChatGPT and others are already using NMT systems. They apply the techniques of artificial intelligence that are constantly being developed, so they are currently providing increasingly correct ...
Beata Śmigielska
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Downward movement: (se) baisser ‘to fall’
This article aims to disambiguate the French verb baisser, which describes the downward movement of an entity, and to present its conceptual structure. Our approach is strongly based on the belief that the meaning of the word is conceptual, and that it ...
Joanna Cholewa
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Semantic Subtyping for Objects and Classes [PDF]
We propose an integration of structural subtyping with boolean connectives and semantic subtyping to define a Java-like programming language that exploits the benefits of both techniques. Semantic subtyping is an approach to defining subtyping relation based on set-theoretic models, rather than syntactic rules.
Ornela Dardha +2 more
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Proposal for establishment of the basic national topographic model (BNTM) in the Republic of Croatia [PDF]
The development of topographic survey and production of topographic maps in scale 1:25,000 in the Republic of Croatia started in 1993 with the completion of the project the Official Topographic-Cartographic Information System (STOKIS). The STOKIS project
Ivan Landek +2 more
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OBJECT DETECTION WITH THE HIGH-FREQUENCY CHANGE OF OBJECTS CLASSES [PDF]
With the development of deep learning, object detection has a significantly improvement. But most of algorithms only focus on the detection accuracy and speed, they do not consider the difficulty of making training datasets and the time consumption of ...
L. Lou, S. Zhang, S. Zhang
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La cause dans l’approche orientée objets à partir de l’exemple du verbe déterminer
This study analyses the use of the French causal verb déterminer with the aim of disambiguating their meanings. The process consists in finding every possible meaning of the word by analysing contexts in which it might appear.
Katarzyna Gabrysiak
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It is well known that languages differ in how they describe the same piece of reality. In this paper, the author examine that the categorization of some events does not proceed in identical way in French and in Polish.
Magdalena Perz
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In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to new classes with minimal training data.
Youngki Park, Youhyun Shin
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