Results 31 to 40 of about 1,120,551 (376)
Frontiers in Psychology, 2022 Punning is an important means of creating humorous effects by intentionally exploiting semantic ambiguity. Previous psycholinguistic research on puns has mainly focused on the process of meaning retrieval in homograph puns, while it is still not entirely
Wei Zheng +3 more
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Sensors, 2020 The main factors influencing the shape of the beach, shoreline and seabed include undulation, wind and coastal currents. These phenomena cause continuous and multidimensional changes in the shape of the seabed and the Earth’s surface, and when they occur
Pawel Burdziakowski +5 more
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Saliency changes appearance. [PDF]
PLoS ONE, 2011 Numerous studies have suggested that the deployment of attention is linked to saliency. In contrast, very little is known about how salient objects are perceived.
Dirk Kerzel +4 more
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Scientific Reports, 2022 Diapeutics gene markers in colorectal cancer (CRC) can help manage mortality caused by the disease. We applied a game-theoretic link relevance Index (LRI) scoring on the high-throughput whole-genome transcriptome dataset to identify salient genes in CRC ...
Vishwa Jyoti Baruah +7 more
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Hybrid Attention Asynchronous Cascade Network for Salient Object Detection
Mathematics, 2023 The highlighted area or object is defined as the salient region or salient object. For salient object detection, the main challenges are still the clarity of the boundary information of the salient object and the positioning accuracy of the salient ...
Haiyan Yang +3 more
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A Simple Pooling-Based Design for Real-Time Salient Object Detection [PDF]
Computer Vision and Pattern Recognition, 2019 We solve the problem of salient object detection by investigating how to expand the role of pooling in convolutional neural networks. Based on the U-shape architecture, we first build a global guidance module (GGM) upon the bottom-up pathway, aiming at ...
Jiangjiang Liu +4 more
semanticscholar +1 more source
Salient Deconvolutional Networks [PDF]
, 2016 Deconvolution is a popular method for visualizing deep convolutional neural networks; however, due to their heuristic nature, the meaning of deconvolutional visualizations is not entirely clear. In this paper, we introduce a family of reversed networks that generalizes and relates deconvolution, backpropagation and network saliency.
Mahendran, Aravindh, Vedaldi, Andrea
openaire +3 more sources
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2019 The use of RGB-D information for salient object detection (SOD) has been extensively explored in recent years. However, relatively few efforts have been put toward modeling SOD in real-world human activity scenes with RGB-D.
Deng-Ping Fan +7 more
semanticscholar +1 more source
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 Visual salient object detection (SOD) aims at finding the salient object(s) that attract human attention, while camouflaged object detection (COD) on the contrary intends to discover the camouflaged object(s) that hidden in the surrounding. In this paper,
Aixuan Li +5 more
semanticscholar +1 more source
F3Net: Fusion, Feedback and Focus for Salient Object Detection [PDF]
AAAI Conference on Artificial Intelligence, 2019 Most of existing salient object detection models have achieved great progress by aggregating multi-level features extracted from convolutional neural networks.
Junhang Wei, Shuhui Wang, Qingming Huang
semanticscholar +1 more source