Results 31 to 40 of about 1,142,230 (358)
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection [PDF]
Computer Vision and Pattern Recognition, 2019 Existing state-of-the-art salient object detection networks rely on aggregating multi-level features of pre-trained convolutional neural networks (CNNs).
Zhe Wu, Li Su, Qingming Huang
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +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
RGB-T salient object detection via fusing multi-level CNN features [PDF]
, 2019 RGB-induced salient object detection has recently witnessed substantial progress, which is attributed to the superior feature learning capability of deep convolutional neural networks (CNNs).
Han, Jungong +5 more
core +1 more source
Salient Object Detection Techniques in Computer Vision—A Survey
Entropy, 2020 Detection and localization of regions of images that attract immediate human visual attention is currently an intensive area of research in computer vision.
Ashish Kumar Gupta +3 more
doaj +1 more source