Results 31 to 40 of about 4,939,141 (238)
RGBD Salient Object Detection via Deep Fusion [PDF]
, 2017 Numerous efforts have been made to design various low-level saliency cues for RGBD saliency detection, such as color and depth contrast features as well as background and color compactness priors.
Tian JD(田建东) +14 more
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Super Diffusion for Salient Object Detection [PDF]
IEEE Transactions on Image Processing, 2020 One major branch of saliency object detection methods is diffusion-based which construct a graph model on a given image and diffuse seed saliency values to the whole graph by a diffusion matrix. While their performance is sensitive to specific feature spaces and scales used for the diffusion matrix definition, little work has been published to ...
Peng Jiang 0002 +5 more
openaire +4 more sources
Salient Regions for Query by Image Content [PDF]
, 2004 Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insufficient to accurately describe the image content when different parts of the image ...
Hare, Jonathon S., Lewis, Paul H.
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RGBT Salient Object Detection: A Large-scale Dataset and Benchmark [PDF]
, 2022 Salient object detection in complex scenes and environments is a challenging research topic. Most works focus on RGB-based salient object detection, which limits its performance of real-life applications when confronted with adverse conditions such as ...
Tu, Zhengzheng +5 more
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Employing deep part-object relationships for salient object detection [PDF]
, 2019 Despite Convolutional Neural Networks (CNNs) based methods have been successful in detecting salient objects, their underlying mechanism that decides the salient intensity of each image part separately cannot avoid inconsistency of parts within the same ...
Dingwen Zhang +7 more
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Multi-Color Space Network for Salient Object Detection
Sensors, 2022 The salient object detection (SOD) technology predicts which object will attract the attention of an observer surveying a particular scene. Most state-of-the-art SOD methods are top-down mechanisms that apply fully convolutional networks (FCNs) of ...
Kyungjun Lee, Jechang Jeong
doaj +1 more source
Feature Refine Network for Salient Object Detection
Sensors, 2022 Different feature learning strategies have enhanced performance in recent deep neural network-based salient object detection. Multi-scale strategy and residual learning strategies are two types of multi-scale learning strategies. However, there are still
Jiejun Yang, Liejun Wang, Yongming Li
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RGB-D Salient Object Detection Method Based on Multi-Modal Fusion and Contour Guidance
IEEE Access, 2023 Salient object detection is a critical task in the field of computer vision. However, existing detection methods still face certain challenges, such as the inability to effectively integrate multimodal features and the blurring of detection result ...
Yanbin Peng, Mingkun Feng, Zhijun Zheng
doaj +1 more source
Contextual hypergraph modeling for salient object detection [PDF]
, 2013 Salient object detection aims to locate objects that capture human attention within images. Previous approaches often pose this as a problem of image contrast analysis.
Anton Van Den Hengel +9 more
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