Results 51 to 60 of about 6,403,045 (365)
IEEE Transactions on Image Processing, 2021 Human attention is an interactive activity between our visual system and our brain, using both low-level visual stimulus and high-level semantic information.
Guangxiao Ma +4 more
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Advances in Mathematical Physics, 2021 The saliency calculation model based on the principle of partial differential equations sometimes highlights areas with high contrast in the background, and the salient targets obtained occasionally have holes.
Lina Wang, Yaoming Liu, Zhike Qian
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Computational Visual Media, 2019 Depth-image-based rendering (DIBR) is widely used in 3DTV, free-viewpoint video, and interactive 3D graphics applications. Typically, synthetic images generated by DIBR-based systems incorporate various distortions, particularly geometric distortions ...
Xiaochuan Wang +3 more
semanticscholar +1 more source
A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory
IEEE Photonics Journal, 2020 Due to more or less deviations in the imaging system, there will be noise in the image, which makes the image segmentation inaccurate. To divide a natural image into a more accurate binary image, the target and background of the image are effectively ...
Sensen Song +3 more
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Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
AAAI Conference on Artificial Intelligence, 2019 The transformed domain fearures of images show effectiveness in distinguishing salient and non-salient regions. In this paper, we propose a novel deep complex neural network, named SalDCNN, to predict image saliency by learning features in both pixel and
Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang
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PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence [PDF]
IEEE Transactions on Image Processing, 2015 Driven by recent vision and graphics applications such as image segmentation and object recognition, computing pixel-accurate saliency values to uniformly highlight foreground objects becomes increasingly important.
Keze Wang +4 more
semanticscholar +1 more source
Influence of image classification accuracy on saliency map estimation
CAAI Transactions on Intelligence Technology, 2018 Saliency map estimation in computer vision aims to estimate the locations where people gaze in images. Since people tend to look at objects in images, the parameters of the model pre-trained on ImageNet for image classification are useful for the ...
Taiki Oyama, Takao Yamanaka
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Radiation, 2022 Recently, the use of saliency maps to evaluate the image quality of nuclear medicine images has been reported. However, that study only compared qualitative visual evaluations and did not perform a quantitative assessment.
Shota Hosokawa +6 more
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, 2018 Top-down saliency models produce a probability map that peaks at target locations specified by a task/goal such as object detection. They are usually trained in a fully supervised setting involving pixel-level annotations of objects.
Cholakkal, Hisham +2 more
core +1 more source
CF‐based optimisation for saliency detection
IET Computer Vision, 2018 In view of the observation that saliency maps generated by saliency detection algorithms usually show similarity imperfection against the ground truth, the authors propose an optimisation algorithm based on clustering and fitting (CF) for saliency ...
Yuzhen Niu, Wenqi Lin, Xiao Ke
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