Results 31 to 40 of about 342,749 (263)
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, Jinglu Wang, Xiao Li, Yan Lu
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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 ...
Li, Ke, Malik, Jitendra
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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 ...
Watanabe, Thomio, Wolf, Denis
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JSMNET: IMPROVING INDOOR POINT CLOUD SEMANTIC AND INSTANCE SEGMENTATION THROUGH SELF-ATTENTION AND MULTISCALE FUSION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The semantic understanding of indoor 3D point cloud data is crucial for a range of subsequent applications, including indoor service robots, navigation systems, and digital twin engineering. Global features are crucial for achieving high-quality semantic
S. Xu, S. Xu, Z. Zhang, Z. Zhang
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Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances [PDF]
, 2020 To appear at ECCV ...
Arun, A, Jawahar, CV, Mudigonda, P
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Convolutional neural network-based automated segmentation and labeling of the lumbar spine X-ray
Journal of Craniovertebral Junction and Spine, 2021 Purpose: This study investigated the segmentation metrics of different segmentation networks trained on 730 manually annotated lateral lumbar spine X-rays to test the generalization ability and robustness which are the basis of clinical decision support ...
Sandor Konya +5 more
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Automatic fault instance segmentation based on mask propagation neural network
Artificial Intelligence in Geosciences, 2020 Fault interpretation plays a critical role in understanding the crustal development and exploring the subsurface reservoirs such as gas and oil. Recently, significant advances have been made towards fault semantic segmentation using deep learning ...
Ruoshui Zhou +5 more
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Remote Sensing, 2021 Efficient building instance segmentation is necessary for many applications such as parallel reconstruction, management and analysis. However, most of the existing instance segmentation methods still suffer from low completeness, low correctness and low ...
Yongjun Zhang +5 more
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PatchPerPix for Instance Segmentation [PDF]
, 2020 ECCV2020, code: https://github.com/Kainmueller-Lab ...
Lisa Mais +2 more
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