Results 31 to 40 of about 311,283 (352)
Computational Modeling of Saliency from Image Histogram
i-Perception, 2011 Computational model of image saliency plays an important role for vision tasks such as visual search and attention modeling. We developed a computational model that captures both shape and color image saliency based on histograms.
Shijian Lu, Joo Hwee Lim
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15 years of microstate research in schizophrenia – where are we? A meta-analysis
Frontiers in Psychiatry, 2016 Schizophrenia patients show abnormalities in a broad range of task demands. Therefore, an explanation common to all these abnormalities has to be sought independently of any particular task, ideally in the brain dynamics before a task takes place or ...
Kathryn eRieger +6 more
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New characterizations of minimum spanning trees and of saliency maps based on quasi-flat zones [PDF]
, 2015 We study three representations of hierarchies of partitions: dendrograms (direct representations), saliency maps, and minimum spanning trees. We provide a new bijection between saliency maps and hierarchies based on quasi-flat zones as used in image ...
Cousty, Jean +3 more
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The Role of Saliency in Learning First Words
Frontiers in Psychology, 2019 In word learning, one key accomplishment is the reference, that is, the linking of a word to its referent. According to classical theories, the term reference captures a mental event: A person uses a word to mentally recall a concept of an entity (an ...
Eugenia Wildt +2 more
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Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
Annual Meeting of the Association for Computational Linguistics, 2019 We address the problem of adversarial attacks on text classification, which is rarely studied comparing to attacks on image classification. The challenge of this task is to generate adversarial examples that maintain lexical correctness, grammatical ...
Shuhuai Ren +3 more
semanticscholar +1 more source
Proto-Object Based Saliency Model With Texture Detection Channel
Frontiers in Computational Neuroscience, 2020 The amount of visual information projected from the retina to the brain exceeds the information processing capacity of the latter. Attention, therefore, functions as a filter to highlight important information at multiple stages of the visual pathway ...
Takeshi Uejima +2 more
doaj +1 more source
Visual Saliency Models for Text Detection in Real World. [PDF]
PLoS ONE, 2014 This paper evaluates the degree of saliency of texts in natural scenes using visual saliency models. A large scale scene image database with pixel level ground truth is created for this purpose.
Renwu Gao +4 more
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Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging.
Radiology: Artificial Intelligence, 2021 Purpose To evaluate the trustworthiness of saliency maps for abnormality localization in medical imaging. Materials and Methods Using two large publicly available radiology datasets (Society for Imaging Informatics in Medicine-American College of ...
N. Arun +12 more
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Mesh Saliency via Weakly Supervised Classification-for-Saliency CNN [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2021 Recently, effort has been made to apply deep learning to the detection of mesh saliency. However, one major barrier is to collect a large amount of vertex-level annotation as saliency ground truth for training the neural networks. Quite a few pilot studies showed that this task is difficult.
Ran Song, Yonghuai Liu, Paul L. Rosin
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The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? [PDF]
BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020 There is a recent surge of interest in using attention as explanation of model predictions, with mixed evidence on whether attention can be used as such.
Jasmijn Bastings, Katja Filippova
semanticscholar +1 more source