Results 11 to 20 of about 345,447 (283)
YOLACT++ Better Real-Time Instance Segmentation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 We present a simple, fully-convolutional model for real-time (>30 fps) instance segmentation that achieves competitive results on MS COCO evaluated on a single Titan Xp, which is significantly faster than any previous state-of-the-art approach. Moreover, we obtain this result after training on only one GPU.
Daniel Bolya +3 more
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Efficient Instance Segmentation Paradigm for Interpreting SAR and Optical Images
Remote Sensing, 2022 Instance segmentation in remote sensing images is challenging due to the object-level discrimination and pixel-level segmentation for the objects.
Fan Fan +6 more
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Remote Sensing, 2021 Instance segmentation of high-resolution aerial images is challenging when compared to object detection and semantic segmentation in remote sensing applications.
Xiangfeng Zeng +6 more
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Instance search via instance level segmentation and feature representation [PDF]
Journal of Visual Communication and Image Representation, 2021 Instance search is an interesting task as well as a challenging issue due to the lack of effective feature representation. In this paper, an instance level feature representation built upon fully convolutional instance-aware segmentation is proposed. The feature is ROI-pooled from the segmented instance region.
Zhan, Yu, Zhao, Wan-Lei
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Boundary-Aware Instance Segmentation [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We address the problem of instance-level semantic segmentation, which aims at jointly detecting, segmenting and classifying every individual object in an image. In this context, existing methods typically propose candidate objects, usually as bounding boxes, and directly predict a binary mask within each such proposal.
Hayder, Zeeshan +2 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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Instance Segmentation of Buildings Using Keypoints [PDF]
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020 Building segmentation is of great importance in the task of remote sensing imagery interpretation. However, the existing semantic segmentation and instance segmentation methods often lead to segmentation masks with blurred boundaries. In this paper, we propose a novel instance segmentation network for building segmentation in high-resolution remote ...
Li, Qingyu +6 more
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Instance Segmentation of Microscopic Foraminifera
Applied Sciences, 2021 Foraminifera are single-celled marine organisms that construct shells that remain as fossils in the marine sediments. Classifying and counting these fossils are important in paleo-oceanographic and -climatological research.
Thomas Haugland Johansen +3 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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Video Instance Segmentation [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Accepted to ICCV ...
Yang, Linjie, Fan, Yuchen, Xu, Ning
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