Results 41 to 50 of about 6,300,985 (321)
Improving RGBD Saliency Detection Using Progressive Region Classification and Saliency Fusion
IEEE Access, 2016 This paper proposes an effective method to improve the saliency detection performance of existing RGBD (RGB image with Depth map) saliency models. First, a progressive region classification method is proposed to collect training samples at coarse scale ...
Huan Du +4 more
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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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Image Saliency Detection Combining Sparse Reconstruction and Compactness
Jisuanji kexue yu tansuo, 2020 Aiming at the problem that existing image saliency detection algorithms can't correctly detect salient objects in complex environments, this paper proposes a method combining sparse reconstruction error and the compactness of image salient regions to ...
ZHANG Yingying, GE Hongwei
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Consistent image processing based on co‐saliency
CAAI Transactions on Intelligence Technology, 2021 In a group of images, the recurrent foreground objects are considered as the key objects in the group of images. In co‐saliency detection, these are described as common saliency objects.
Xiangnan Ren +3 more
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IEEE Access, 2022 Interpretability of DNN-based object detection has been a rising concern for the research community. The first step towards this goal is a saliency map that visualizes the importance (saliency) of pixels in an image for the object detected by a specific ...
Yicheng Yan +4 more
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Supervised adversarial networks for image saliency detection [PDF]
International Conference on Graphic and Image Processing, 2017 In the past few years, Generative Adversarial Network (GAN) became a prevalent research topic. GAN has ability to generate good quality images that look like natural images from a random vector.
H. Pan, Hui Jiang
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IEEE Access, 2017 Saliency detection on an individual image as well as co-saliency detection from a group of images are currently popular topics or reflect future trends more recently due to their importance and challenging roles in computer vision.
Honglin Quan, Songhe Feng, Baifan Chen
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Clustered Saliency Prediction [PDF]
arXiv, 2022 We present a new method for image salience prediction, Clustered Saliency Prediction. This method divides subjects into clusters based on their personal features and their known saliency maps, and generates an image salience model conditioned on the cluster label.
arxiv
Saliency-Driven Active Contour Model for Image Segmentation
IEEE Access, 2020 Active contour models have achieved prominent success in the area of image segmentation, allowing complex objects to be segmented from the background for further analysis.
Ehtesham Iqbal +4 more
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A Local Texture-Based Superpixel Feature Coding for Saliency Detection Combined with Global Saliency
Applied Sciences, 2015 Because saliency can be used as the prior knowledge of image content, saliency detection has been an active research area in image segmentation, object detection, image semantic understanding and other relevant image-based applications.
Bingfei Nan +3 more
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