Results 11 to 20 of about 83,590 (265)
PatchPerPix for Instance Segmentation [PDF]
, 2020 ECCV2020, code: https://github.com/Kainmueller-Lab ...
Lisa Mais +2 more
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Video Instance Segmentation [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Accepted to ICCV ...
Linjie Yang, Yuchen Fan 0001, Ning Xu
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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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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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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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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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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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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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Recurrent Instance Segmentation [PDF]
, 2016 14 pages (main paper).
Bernardino Romera-Paredes +1 more
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