Results 31 to 40 of about 57,569 (167)
Interaction between High-Level and Low-Level Image Analysis for Semantic Video Object Extraction
, 2004 The task of extracting a semantic video object is split into two subproblems, namely, object segmentation and region segmentation. Object segmentation relies on a priori assumptions, whereas region segmentation is data-driven and can be solved in an ...
Ebrahimi Touradj +5 more
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Panoptic segmentation with highly imbalanced semantic labels
, 2022 We describe here the panoptic segmentation method we devised for our participation in the CoNIC: Colon Nuclei Identification and Counting Challenge at ISBI 2022.
Baumann, E. +17 more
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Enriching texture analysis with semantic data [PDF]
, 2013 We argue for the importance of explicit semantic modelling in human-centred texture analysis tasks such as retrieval, annotation, synthesis, and zero-shot learning.To this end, low-level attributes are selected and used to define a semantic space for ...
Tim Matthews +6 more
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ShelfNet for Fast Semantic Segmentation [PDF]
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 In this paper, we present ShelfNet, a novel architecture for accurate fast semantic segmentation. Different from the single encoder-decoder structure, ShelfNet has multiple encoder-decoder branch pairs with skip connections at each spatial level, which looks like a shelf with multiple columns.
Juntang Zhuang +3 more
openaire +2 more sources
Parameter Optimisation for Context-Adaptive Deep Layered Network for Semantic Segmentation
, 2023 Evolutionary optimization methods have been utilized to optimize a wide range of models, including many complex neural network models. Manual parameter selection requires substantial trial and error and specialist domain knowledge of the inherent ...
Verma, B, Mandal, R
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Semantic Referee : A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
, 2019 Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm.
Alirezaie, Marjan, +3 more
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Causal unsupervised semantic segmentation
Pattern RecognitionUnsupervised semantic segmentation aims to achieve high-quality semantic grouping without human-labeled annotations. With the advent of self-supervised pre-training, various frameworks utilize the pre-trained features to train prediction heads for unsupervised dense prediction.
Junho Kim, Byung-Kwan Lee, Yong Man Ro
openaire +2 more sources
Large Scale Integration of Senses for the Semantic Web
, 2009 Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues due to the heterogeneity of the available semantic resources.
Jorge Gracia +5 more
core +1 more source
Advanced content-based semantic scene analysis and information retrieval: the SCHEMA project [PDF]
, 2003 The aim of the SCHEMA Network of Excellence is to bring together a critical mass of universities, research centers, industrial partners and end users, in order to design a reference system for content-based semantic scene analysis, interpretation and ...
I. KOMPATSIARIS +13 more
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