Results 41 to 50 of about 91,320 (301)
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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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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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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Object-Guided Instance Segmentation for Biological Images [PDF]
, 2020 Instance segmentation of biological images is essential for studying object behaviors and properties. The challenges, such as clustering, occlusion, and adhesion problems of the objects, make instance segmentation a non-trivial task.
Tang, Hui +7 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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Deep Variational Instance Segmentation
CoRR, 2020 The work has been accepted by NeurIPS ...
Jialin Yuan, Chao Chen 0012, Fuxin Li
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Online self-supervised multi-instance segmentation of dynamic objects [PDF]
, 2014 This paper presents a method for the continuous segmentation of dynamic objects using only a vehicle mounted monocular camera without any prior knowledge of the object’s appearance. Prior work in online static/dynamic segmentation is extended to identify
Upcroft, Ben +7 more
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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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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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