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Improving the Performance of Object Detection by Preserving Balanced Class Distribution
Mathematics, 2023 Object detection is a task that performs position identification and label classification of objects in images or videos. The information obtained through this process plays an essential role in various tasks in the field of computer vision.
Heewon Lee, Sangtae Ahn
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Learning Coexistence Discriminative Features for Multi-Class Object Detection
IEEE Access, 2018 Existing methods on object detection have the ability to learn the discriminative features of local regions for object recognition; however, the coexistence relation between the multi-class objects could also benefit recognition.
Chao Yao +3 more
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Class-incremental few-shot underwater object detection framework [PDF]
Scientific ReportsUnderwater object detection is vital for marine exploration and ecological monitoring. However, due to the low-quality original characteristics of underwater images, the diversity changes of underwater species, and the scarcity of samples, existing ...
Xue Zhao, Bin Zhou, Yanjiang Wang
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Class-agnostic Object Detection [PDF]
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 To appear in Proceedings of WACV ...
JAISWAL AYUSH +3 more
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Analyse contrastive français-polonais des verbes supports de la classe d’objet "attaques"
Neophilologica, 2022 Ce texte présente une analyse sémantico-syntaxique contrastive français-polonais des constructions nominales à verbes supports avec comme application une base de données bilingue.
Izabela Pozierak-Trybisz
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Pill Detection Model for Medicine Inspection Based on Deep Learning
Chemosensors, 2021 This paper proposes a deep learning algorithm that can improve pill identification performance using limited training data. In general, when individual pills are detected in multiple pill images, the algorithm uses multiple pill images from the learning ...
Hyuk-Ju Kwon, Hwi-Gang Kim, Sung-Hak Lee
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Semantic Subtyping for Objects and Classes [PDF]
The Computer Journal, 2013 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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Mathematical model of bank scoring in conditions of insufficient data [PDF]
E3S Web of Conferences, 2021 Recently, different methods of object classification using training datasets is actually. One of these methods is naive Bayesian classifier. Class of objects can consist of low number of elements. Such class is called poor class.
Mosin Vladimir +2 more
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Traduction automatique des mots sémantiquement proches dans l’approche orientée objets
Neophilologica, 2015 The paper refers to the specifics of the French-Polish automated translation. The author summarizes briefly the rules of creating electronic lexical databases in the context of the Object Oriented Approach.
Beata Śmigielska
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Parties du corps « sous-estimées » par la langue
Neophilologica, 2008 The article focuses on the lexicographic description of the semantic field of human body parts. The author’s analysis of 89 words belonging to the semantic field in question here is presented from the point of view of object classes proposed by Wiesław ...
Anna Grigowicz
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