Results 31 to 40 of about 83,590 (265)
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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Conditional Convolutions for Instance Segmentation [PDF]
, 2020 We propose a simple yet effective instance segmentation framework, termed CondInst (conditional convolutions for instance segmentation). Top-performing instance segmentation methods such as Mask R-CNN rely on ROI operations (typically ROIPool or ROIAlign) to obtain the final instance masks.
Zhi Tian, Chunhua Shen, Hao Chen 0041
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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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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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Deep Variational Instance Segmentation
CoRR, 2020 The work has been accepted by NeurIPS ...
Jialin Yuan, Chao Chen 0012, Fuxin Li
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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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Localized Interactive Instance Segmentation [PDF]
, 2019 In current interactive instance segmentation works, the user is granted a free hand when providing clicks to segment an object; clicks are allowed on background pixels and other object instances far from the target object. This form of interaction is highly inconsistent with the end goal of efficiently isolating objects of interest.
Soumajit Majumder, Angela Yao
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A Survey on Object Instance Segmentation
SN Computer Science, 2022 AbstractIn recent years, instance segmentation has become a key research area in computer vision. This technology has been applied in varied applications such as robotics, healthcare and intelligent driving. Instance segmentation technology not only detects the location of the object but also marks edges for each single instance, which can solve both ...
Rabi Sharma +3 more
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Instance segmentation in fisheye images [PDF]
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2020 In this paper we propose a data augmentation method for instance segmentation in fisheye images. A lot of progress has been made on the task of instance segmentation in the last few years, particularly for rectilinear images. In fisheye images, detection tasks have mostly been explored as a semantic segmentation task.
Dufour, Rémi +3 more
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Actor-Critic Instance Segmentation [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 To appear at CVPR ...
Nikita Araslanov +2 more
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