Results 41 to 50 of about 44,407 (267)
Ensembling Instance and Semantic Segmentation for Panoptic Segmentation
CoRR, 2023 We demonstrate our solution for the 2019 COCO panoptic segmentation task. Our method first performs instance segmentation and semantic segmentation separately, then combines the two to generate panoptic segmentation results. To enhance the performance, we add several expert models of Mask R-CNN in instance segmentation to tackle the data imbalance ...
Mehmet Yildirim, Yogesh Langhe
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Applied Sciences, 2022 The modern urban environment is becoming more and more complex. In helping us identify surrounding objects, vehicle vision sensors rely more on the semantic segmentation ability of deep learning networks.
Yanyi Li, Jian Shi, Yuping Li
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Meta-Seg: A Generalized Meta-Learning Framework for Multi-Class Few-Shot Semantic Segmentation
IEEE Access, 2019 Semantic segmentation performs pixel-wise classification for given images, which can be widely used in autonomous driving, robotics, medical diagnostics and etc.
Zhiying Cao +6 more
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Personalized Image Semantic Segmentation [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 appeared at ...
Yu Zhang +4 more
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International Journal of Digital EarthIn the field of remote sensing, using a large amount of labeled image data to supervise the training of fully convolutional networks for the semantic segmentation of images is expensive.
Zenan Yang +4 more
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Research on Semantic Segmentation Algorithm for Infrared Moving Targets in Complex Backgrounds [PDF]
Hangkong bingqiThe semantic segmentation of infrared weak targets relies more on detailed texture features, and deeper network architecture are not suitable for semantic segmentation of infrared targets, making it difficult to accurately segment weak targets from ...
Ji Haoyu, Meng Weihua, Zhang Xinchao, Duan Jingfei, Zhang Meng
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High precision semantic segmentation based on multi-level feature fusion
Xi'an Gongcheng Daxue xuebao, 2021 In order to solve the problems of fuzzy edge segmentation and imprecise segmentation of small objects in image semantic segmentation, a high-precision semantic segmentation method was proposed.
Xiaohua WANG +3 more
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A Survey of Semantic Segmentation
CoRR, 2016 Fixed typo in accuracy metrics formula; added value range of accuracy metrics; consistent naming of ...
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ERN: Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images
Remote Sensing, 2018 The semantic segmentation of remote sensing images faces two major challenges: high inter-class similarity and interference from ubiquitous shadows. In order to address these issues, we develop a novel edge loss reinforced semantic segmentation network ...
Shuo Liu +5 more
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CSF Monoamine Metabolites and Cognitive Trajectory in Early Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Imaging and postmortem studies indicate that abnormalities in monoaminergic neurotransmission contribute to cognitive impairment in Parkinson's disease (PD). However, it remains uncertain if cerebrospinal fluid (CSF) monoamine metabolites can serve as biomarkers of cognitive decline in early PD.
Jing‐Yu Shao +7 more
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