Search Results - "Li, Gongyang"
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Spatio-Temporal Self-Attention Network for Video Saliency Prediction
Published in IEEE transactions on multimedia (2023)“…3D convolutional neural networks have achieved promising results for video tasks in computer vision, including video saliency prediction that is explored in…”
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ICNet: Information Conversion Network for RGB-D Based Salient Object Detection
Published in IEEE transactions on image processing (01-01-2020)“…RGB-D based salient object detection (SOD) methods leverage the depth map as a valuable complementary information for better SOD performance. Previous methods…”
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Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignment
Published in IEEE transactions on geoscience and remote sensing (2023)“…Recently, relying on convolutional neural networks (CNNs), many methods for salient object detection in optical remote-sensing images (ORSI-SOD) are proposed…”
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Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection
Published in IEEE transactions on image processing (2021)“…Existing RGB-D Salient Object Detection (SOD) methods take advantage of depth cues to improve the detection accuracy, while pay insufficient attention to the…”
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RGB-T Semantic Segmentation with Location, Activation, and Sharpening
Published in IEEE transactions on circuits and systems for video technology (01-03-2023)“…Semantic segmentation is important for scene understanding. To address the scenes of adverse illumination conditions of natural images, thermal infrared (TIR)…”
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Multi-Content Complementation Network for Salient Object Detection in Optical Remote Sensing Images
Published in IEEE transactions on geoscience and remote sensing (2022)“…In the computer vision community, great progresses have been achieved in salient object detection from natural scene images (NSI-SOD); by contrast, salient…”
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Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation
Published in IEEE transactions on geoscience and remote sensing (2022)“…Salient object detection in optical remote sensing images (ORSI-SOD) has been widely explored for understanding ORSIs. However, previous methods focus mainly…”
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Context-Aware Interaction Network for RGB-T Semantic Segmentation
Published in IEEE transactions on multimedia (2024)“…RGB-T semantic segmentation is a key technique for autonomous driving scenes understanding. For the existing RGB-T semantic segmentation methods, however, the…”
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Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images
Published in IEEE transactions on cybernetics (01-01-2023)“…Salient object detection (SOD) in optical remote sensing images (RSIs), or RSI-SOD, is an emerging topic in understanding optical RSIs. However, due to the…”
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Two-Stage Edge Reuse Network for Salient Object Detection of Strip Steel Surface Defects
Published in IEEE transactions on instrumentation and measurement (2022)“…Recently, researchers have paid more attention to salient object detection (SOD) of strip steel surface defects, but there are lots of difficulties, such as a…”
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Global–local–global context-aware network for salient object detection in optical remote sensing images
Published in ISPRS journal of photogrammetry and remote sensing (01-04-2023)“…For the salient object detection in optical remote sensing images (ORSI-SOD), many existing methods are trapped in a local–global mode, i.e., CNN-based encoder…”
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Salient Object Detection in Optical Remote Sensing Images Driven by Transformer
Published in IEEE transactions on image processing (2023)“…Existing methods for Salient Object Detection in Optical Remote Sensing Images (ORSI-SOD) mainly adopt Convolutional Neural Networks (CNNs) as the backbone,…”
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Texture-Semantic Collaboration Network for ORSI Salient Object Detection
Published in IEEE transactions on circuits and systems. II, Express briefs (01-04-2024)“…Salient object detection (SOD) in optical remote sensing images (ORSIs) has become increasingly popular recently. Due to the characteristics of ORSIs, ORSI-SOD…”
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SGFNet: Semantic-Guided Fusion Network for RGB-Thermal Semantic Segmentation
Published in IEEE transactions on circuits and systems for video technology (01-12-2023)“…Recently, semantic segmentation based on RGB and thermal infrared (TIR) images has become a research hotspot because of its stability in the weak light…”
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No-Service Rail Surface Defect Segmentation via Normalized Attention and Dual-scale Interaction
Published in IEEE transactions on instrumentation and measurement (01-01-2023)“…No-service rail surface defect (NRSD) segmentation is an essential way for perceiving the quality of no-service rails. However, due to the complex and diverse…”
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Lightweight Distortion-aware Network for Salient Object Detection in Omnidirectional Images
Published in IEEE transactions on circuits and systems for video technology (01-10-2023)“…Compared with 2D image salient object detection (SOD), SOD in omnidirectional images (or 360° images) usually suffers from geometric distortion. Although…”
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Constrained fixation point based segmentation via deep neural network
Published in Neurocomputing (Amsterdam) (27-11-2019)“…It is an explicit mode to use the clicking points by the mouse in the interactive image segmentation, while an implicit interaction mode is to use the fixation…”
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Cross-Scale Edge Purification Network for salient object detection of steel defect images
Published in Measurement : journal of the International Measurement Confederation (01-08-2022)“…Salient object detection has achieved great success in natural scene images, but there is big room for exploration in steel defect images (SDIs). Moreover, the…”
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Gaze Estimation via Modulation-Based Adaptive Network With Auxiliary Self-Learning
Published in IEEE transactions on circuits and systems for video technology (01-08-2022)“…Given a face image, most of previous works in gaze estimation infer the gaze via a well-trained model with supervised training. However, the distribution of…”
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Masked feature regeneration based asymmetric student–teacher network for anomaly detection
Published in Multimedia tools and applications (15-02-2024)Get full text
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