Results 41 to 50 of about 968,733 (291)
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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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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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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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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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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Deep Variational Instance Segmentation
CoRR, 2020 The work has been accepted by NeurIPS ...
Jialin Yuan, Chao Chen 0012, Fuxin Li
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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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Frontiers in Plant Science, 2023 An accurate and robust keypoint detection method is vital for autonomous harvesting systems. This paper proposed a dome-type planted pumpkin autonomous harvesting framework with keypoint (grasping and cutting points) detection method using instance ...
Jin Yan +3 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 ...
Qingyu Li 0001 +6 more
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Foveated Instance Segmentation
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Instance segmentation is essential for augmented reality and virtual reality (AR/VR) as it enables precise object recognition and interaction, enhancing the integration of virtual and real-world elements for an immersive experience. However, the high computational overhead of segmentation limits its application on resource-constrained AR/VR devices ...
Hongyi Zeng +5 more
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