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Scene categorization by Hessian-regularized active perceptual feature selection. [PDF]
Sci RepZhou J, Ren F.
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A ternary encoding network fusing scale awareness and large kernel attention for camouflaged object detection. [PDF]
Sci RepZheng C, Lu J, Hu K, Xiang Q, Miao L.
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WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection
IEEE Transactions on Image Processing, 2023In recent years, various neural network architectures for computer vision have been devised, such as the visual transformer and multilayer perceptron (MLP).
Wujie Zhou +4 more
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IEEE/ASME transactions on mechatronics, 2023
Visual perception plays an important role in industrial information field, especially in robotic grasping application. In order to detect the object to be grasped quickly and accurately, salient object detection (SOD) is employed to the above task ...
Kechen Song +4 more
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Visual perception plays an important role in industrial information field, especially in robotic grasping application. In order to detect the object to be grasped quickly and accurately, salient object detection (SOD) is employed to the above task ...
Kechen Song +4 more
semanticscholar +1 more source
IEEE transactions on circuits and systems for video technology (Print), 2023
Salient object detection (SOD) of images refers to simulating the attention mechanism of human vision to capture the most attractive objects in an image. Current SOD mainly relies on RGB images captured by optical cameras.
Kechen Song +3 more
semanticscholar +1 more source
Salient object detection (SOD) of images refers to simulating the attention mechanism of human vision to capture the most attractive objects in an image. Current SOD mainly relies on RGB images captured by optical cameras.
Kechen Song +3 more
semanticscholar +1 more source
Boosting Broader Receptive Fields for Salient Object Detection
IEEE Transactions on Image Processing, 2023Salient Object Detection has boomed in recent years and achieved impressive performance on regular-scale targets. However, existing methods encounter performance bottlenecks in processing objects with scale variation, especially extremely large- or small-
Mingcan Ma +4 more
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USOD10K: A New Benchmark Dataset for Underwater Salient Object Detection
IEEE Transactions on Image Processing, 2023Underwater salient object detection (USOD) is an emerging research area that has great potential for various underwater visual tasks. However, USOD research is still in its early stage due to the lack of large-scale datasets within which salient objects ...
Lin Hong, Xin Wang, Gan Zhang, Ming Zhao
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Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection
Computer Vision and Pattern Recognition, 2023Salient object detection (SOD) aims to mimic the human visual system (HVS) and cognition mechanisms to identify and segment salient objects. However, due to the complexity of these mechanisms, current methods are not perfect. Accuracy and robustness need
Yi Wang +4 more
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Distilling Knowledge From Super-Resolution for Efficient Remote Sensing Salient Object Detection
IEEE Transactions on Geoscience and Remote Sensing, 2023Current state-of-the-art remote sensing salient object detectors always require high-resolution spatial context to ensure excellent performance, which incurs enormous computation costs and hinders real-time efficiency.
Yanfeng Liu +3 more
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IEEE Transactions on Geoscience and Remote Sensing, 2023
In recent years, the task of salient object detection in optical remote sensing images (RSI-SOD) has received extensive attention. Benefiting from the development of deep learning, much progress has been made in RSI-SOD field.
Xiangyu Zeng +5 more
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In recent years, the task of salient object detection in optical remote sensing images (RSI-SOD) has received extensive attention. Benefiting from the development of deep learning, much progress has been made in RSI-SOD field.
Xiangyu Zeng +5 more
semanticscholar +1 more source