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Salient Object Detection with Semantic Priors [PDF]
, 2017 Salient object detection has increasingly become a popular topic in cognitive and computational sciences, including computer vision and artificial intelligence research.
Liu, Luoqi, Nguyen, Tam V.
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Benchmarking deep models on salient object detection
Pattern Recognition, 2023 In recent years, deep network-based methods have continuously refreshed state-of-the-art performance on Salient Object Detection (SOD) task. However, the performance discrepancy caused by different implementation details may conceal the real progress in this task. Making an impartial comparison is required for future researches.
Huajun Zhou +4 more
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Salient Object Detection Method Based on Multi-scale Visual Perception Feature Fusion [PDF]
Jisuanji kexueSalient object detection has important theoretical research significance and practical application value,and has played an important role in many computer vision applications,such as visual tracking,image segmentation and object recognition.How-ever,the ...
WU Xiaoqin, ZHOU Wenjun, ZUO Chenglin, WANG Yifan, PENG Bo
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Salient Object Detection for Point Clouds
, 2022 Accepted to ECCV 2022.
Fan, Songlin, Gao, Wei, Li, Ge
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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
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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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Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Salient object detection is a problem that has been considered in detail and many solutions proposed. In this paper, we argue that work to date has addressed a problem that is relatively ill-posed. Specifically, there is not universal agreement about what constitutes a salient object when multiple observers are queried.
Islam, Md Amirul +2 more
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Salient object subitizing [PDF]
, 2016 We study the problem of salient object subitizing, i.e. predicting the existence and the number of salient objects in an image using holistic cues. This task is inspired by the ability of people to quickly and accurately identify the number of items ...
Betke, Margrit +8 more
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Salient Object Detection through Over-Segmentation
2012 IEEE International Conference on Multimedia and Expo, 2012 In this paper we present a salient object detection model from an over-segmented image. The input image is initially segmented by the mean-shift segmentation algorithm and then over-segmented by a quad mesh to even smaller segments. Such segmented regions overcome the disadvantage of using patches or single pixels to compute saliency. Segments that are
Zhang, Xuejie +3 more
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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
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