Results 191 to 199 of about 333,426 (199)
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TFGNet: Traffic Salient Object Detection Using a Feature Deep Interaction and Guidance Fusion
IEEE transactions on intelligent transportation systems (Print)Emergency prediction and driver attention prediction are fundamental tasks within the realm of self-driving vehicles and assistant driving systems. The utilization of visual saliency detection in these tasks has garnered considerable attention, owing to ...
Ning Jia, Yougang Sun, Xianhui Liu
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IEEE Transactions on Industrial Informatics
The automated surface defect detection is a fundamental task in industrial production, and the existing saliency-based works overcome the challenging scenes and give promising detection results.
Kunye Shen, Xiaofei Zhou, Zhi Liu
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The automated surface defect detection is a fundamental task in industrial production, and the existing saliency-based works overcome the challenging scenes and give promising detection results.
Kunye Shen, Xiaofei Zhou, Zhi Liu
semanticscholar +1 more source
CTIF-Net: A CNN-Transformer Iterative Fusion Network for Salient Object Detection
IEEE transactions on circuits and systems for video technology (Print)Capturing sufficient global context and rich spatial structure information is critical for dense prediction tasks. Convolutional Neural Network (CNN) is particularly adept at modeling fine-grained local features, while Transformer excels at modeling ...
Junbin Yuan +4 more
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Learning Complementary Spatial–Temporal Transformer for Video Salient Object Detection
IEEE Transactions on Neural Networks and Learning Systems, 2023Besides combining appearance and motion information, another crucial factor for video salient object detection (VSOD) is to mine spatial–temporal (ST) knowledge, including complementary long–short temporal cues and global–local spatial context from ...
Nian Liu +4 more
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TCRNet: A Trifurcated Cascaded Refinement Network for Salient Object Detection
IEEE transactions on circuits and systems for video technology (Print), 2023Due to the rapid development of deep learning, salient object detection has achieved promising results in recent years. However, how to construct a powerful saliency detection network to generate saliency maps with completely highlighted salient objects ...
Qing Zhang, Rui Zhao, Liqian Zhang
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Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection
IEEE transactions on circuits and systems for video technology (Print), 2023This paper focuses on the Unsupervised Salient Object Detection (USOD) issue. We come up with a two-stage Activation-to-Saliency (A2S) framework that effectively excavates saliency cues to train a robust saliency detector.
Huajun Zhou +4 more
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Modeling the Distributional Uncertainty for Salient Object Detection Models
Computer Vision and Pattern Recognition, 2023Most of the existing salient object detection (SOD) models focus on improving the overall model performance, without explicitly explaining the discrepancy between the training and testing distributions.
Xinyu Tian +3 more
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Suppress and Balance: A Simple Gated Network for Salient Object Detection
European Conference on Computer Vision, 2020Most salient object detection approaches use U-Net or feature pyramid networks (FPN) as their basic structures. These methods ignore two key problems when the encoder exchanges information with the decoder: one is the lack of interference control between
Xiaoqi Zhao +4 more
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Pluralistic Salient Object Detection
IEEE Transactions on Image ProcessingWe introduce pluralistic salient object detection (PSOD), a novel task aimed at generating multiple plausible salient segmentation results for a given input image.
Xuelu Feng +6 more
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