Results 31 to 40 of about 7,273,685 (301)
Olfaction, Vision, and Semantics for Mobile Robots. Results of the IRO Project
Sensors, 2019 Olfaction is a valuable source of information about the environment that has not been sufficiently exploited in mobile robotics yet. Certainly, odor information can contribute to other sensing modalities, e.g., vision, to accomplish high-level robot ...
Javier Monroy +4 more
doaj +1 more source
Semantic-Conditional Diffusion Networks for Image Captioning* [PDF]
Computer Vision and Pattern Recognition, 2022 Recent advances on text-to-image generation have witnessed the rise of diffusion models which act as powerful generative models. Nevertheless, it is not trivial to exploit such latent variable models to capture the dependency among discrete words and ...
Jianjie Luo +6 more
semanticscholar +1 more source
Semantic Network Interpretation [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022 Network interpretation as an effort to reveal the features learned by a network remains largely visualization-based. In this paper, our goal is to tackle semantic network interpretation at both filter and decision level. For filter-level interpretation, we represent the concepts a filter encodes with a probability distribution of visual attributes. The
Guo, Pei, Farrell, Ryan
openaire +2 more sources
Deblurring Face Images Using Uncertainty Guided Multi-Stream Semantic Networks [PDF]
IEEE Transactions on Image Processing, 2019 We propose a novel multi-stream architecture and training methodology that exploits semantic labels for facial image deblurring. The proposed Uncertainty Guided Multi-Stream Semantic Network (UMSN) processes regions belonging to each semantic class ...
R. Yasarla +2 more
semanticscholar +1 more source
QoE-Aware Resource Allocation for Semantic Communication Networks [PDF]
Global Communications Conference, 2022 With the aim of accomplishing intelligence tasks, semantic communications transmit task-related information only, yielding significant performance gains over conventional communications.
Leibing Yan +4 more
semanticscholar +1 more source
Visual Concepts and Compositional Voting [PDF]
, 2017 It is very attractive to formulate vision in terms of pattern theory \cite{Mumford2010pattern}, where patterns are defined hierarchically by compositions of elementary building blocks.
Premachandran, Vittal +7 more
core +2 more sources
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2016 Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classification problems such as semantic segmentation.
Guosheng Lin +3 more
semanticscholar +1 more source
Xarxes semàntiques en el lèxic disponible de València. Una aproximació al lexicó bilingüe
Studia Romanica Posnaniensia, 2016 This work deals with the situation of languages in contact and explores the nature of bilingual lexicon by studying lexical availability. Based on the results published in 2010 in Lèxic disponible de València, and in relation to ‘town’ as the center of ...
M-Begoña Gómez-Devís +1 more
doaj +3 more sources
Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm
Europe's Journal of Psychology, 2016 Divergent thinking (DT) tests are useful for the assessment of creative potentials. This article reports the semantics-based algorithmic (SBA) method for assessing DT.
Kenes Beketayev, Mark A. Runco
doaj +1 more source
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 In this work we address the task of semantic image segmentation with Deep Learning and make three main contributions that are experimentally shown to have substantial practical merit.
Liang-Chieh Chen +4 more
semanticscholar +1 more source