Results 21 to 30 of about 91,320 (301)
BRefine: Achieving High-Quality Instance Segmentation
Sensors, 2022 Instance segmentation has been developing rapidly in recent years. Mask R-CNN, a two-stage instance segmentation approach, has demonstrated exceptional performance. However, the masks are still very coarse.
Jimin Yu +4 more
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Salient Instance Segmentation via Multiscale Boundary Characteristic Network [PDF]
Jisuanji kexue yu tansuo, 2022 Locating objects of interest is a basic task in the application of computer vision. Salient instance segmentation can obtain instance of interest by detecting visually significant objects and segmenting them at pixel level.
HE Li, ZHANG Hongyan, FANG Wanlin
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Attention-Based Joint Semantic-Instance Segmentation of 3D Point Clouds
Advances in Electrical and Computer Engineering, 2022 In this paper, we propose an attention-based instance and semantic segmentation joint approach, termed ABJNet, for addressing the instance and semantic segmentation of 3D point clouds simultaneously.
HAO, W. +4 more
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Multi-scale YOLACT for instance segmentation
Journal of King Saud University: Computer and Information Sciences, 2022 The mainstream instance segmentation is a comprehensive computer vision task, which involves computer vision tasks such as image classification, object detection, and semantic segmentation.
Jiexian Zeng +4 more
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Iterative Instance Segmentation [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 13 pages, 10 figures; IEEE Conference on Computer Vision and Pattern Recognition (CVPR ...
Ke Li 0011 +2 more
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An Innovative Deep Learning Approach for Image Semantic and Instance Segmentation
Journal of Computing and Information Technology, 2023 In this study, we propose a segmentation model based on convolutional neural networks (CNNs) to address image segmentation challenges in computer vision.
Chuangchuang Chen +3 more
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Video Instance Segmentation by Instance Flow Assembly
IEEE Transactions on Multimedia, 2023 Instance segmentation is a challenging task aiming at classifying and segmenting all object instances of specific classes. While two-stage box-based methods achieve top performances in the image domain, they cannot easily extend their superiority into the video domain.
Xiang Li 0106 +3 more
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Instance Segmentation as Image Segmentation Annotation [PDF]
2019 IEEE Intelligent Vehicles Symposium (IV), 2019 The instance segmentation problem intends to precisely detect and delineate objects in images. Most of the current solutions rely on deep convolutional neural networks but despite this fact proposed solutions are very diverse. Some solutions approach the problem as a network problem, where they use several networks or specialize a single network to ...
Thomio Watanabe, Denis F. Wolf
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Remote Sensing, 2021 Although great success has been achieved in instance segmentation, accurate segmentation of instances remains difficult, especially at object edges. This problem is more prominent for instance segmentation in remote sensing imagery due to the diverse ...
Yiping Gong +5 more
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Improved Instance Segmentation Method Based on Anchor-Free Segmentation Network [PDF]
Jisuanji gongcheng, 2022 In autonomous driving application scenarios, the existing anchor-free instance segmentation methods have problems such as large target features covering small target features, lack of a Region Of Interest (ROI)-Align operation in the two-stage detector ...
LIU Teng, LIU Hongzhe, LI Xuewei, XU Cheng
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