Results 21 to 30 of about 83,590 (265)
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.
Zeeshan Hayder +2 more
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Pointly-Supervised Instance Segmentation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose an embarrassingly simple point annotation scheme to collect weak supervision for instance segmentation. In addition to bounding boxes, we collect binary labels for a set of points uniformly sampled inside each bounding box. We show that the existing instance segmentation models developed for full mask supervision can be seamlessly trained ...
Bowen Cheng +2 more
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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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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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Instance segmentation ship detection based on improved Yolov7 using complex background SAR images
Frontiers in Marine Science, 2023 It is significant for port ship scheduling and traffic management to be able to obtain more precise location and shape information from ship instance segmentation in SAR pictures.
Muhammad Yasir +9 more
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An Elliptic Centerness for Object Instance Segmentation in Aerial Images
Journal of Remote Sensing, 2022 Instance segmentation in aerial images is an important and challenging task. Most of the existing methods have adapted instance segmentation algorithms developed for natural images to aerial images.
Yixin Luo +4 more
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Amodal Instance Segmentation [PDF]
, 2016 23 pages, 14 figures; European Conference on Computer Vision (ECCV ...
Ke Li 0011, Jitendra Malik
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Mask2Former for Video Instance Segmentation
CoRR, 2021 Code and models: https://github.com/facebookresearch ...
Bowen Cheng +5 more
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Iterative Learning for Instance Segmentation
CoRR, 2022 Instance segmentation is a computer vision task where separate objects in an image are detected and segmented. State-of-the-art deep neural network models require large amounts of labeled data in order to perform well in this task. Making these annotations is time-consuming.
Sormunen, Tuomas +2 more
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