Results 1 to 10 of about 83,590 (265)
HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery
Remote Sensing, 2020 Instance segmentation in high-resolution (HR) remote sensing imagery is one of the most challenging tasks and is more difficult than object detection and semantic segmentation tasks. It aims to predict class labels and pixel-wise instance masks to locate
Hao Su, Shunjun Wei, Shan Liu
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Instance Segmentation of Microscopic Foraminifera [PDF]
Applied Sciences, 2021 Foraminifera are single-celled marine organisms that construct shells that remain as fossils in the marine sediments. Classifying and counting these fossils are important in paleo-oceanographic and -climatological research.
Thomas Haugland Johansen +3 more
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CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery [PDF]
Scientific DataIn laparoscopic and robotic surgery, precise tool instance segmentation is an essential technology for advanced computer-assisted interventions. Although publicly available procedures of routine surgeries exist, they often lack comprehensive annotations ...
Oluwatosin Alabi +6 more
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Survey Progress on Image Instance Segmentation Methods of Deep Convolutional Neural Network [PDF]
Jisuanji kexue, 2022 Image instance segmentation is an important part of image processing and computer vision technology about image understanding.With the development of deep learning and deep convolutional neural network,image instance segmentation method based on deep ...
HU Fu-yuan, WAN Xin-jun, SHEN Ming-fei, XU Jiang-lang, YAO Rui, TAO Zhong-ben
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Zero-Shot Instance Segmentation [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Deep learning has significantly improved the precision of instance segmentation with abundant labeled data. However, in many areas like medical and manufacturing, collecting sufficient data is extremely hard and labeling this data requires high professional skills.
Ye Zheng +4 more
openaire +2 more sources
Efficient Instance Segmentation Paradigm for Interpreting SAR and Optical Images
Remote Sensing, 2022 Instance segmentation in remote sensing images is challenging due to the object-level discrimination and pixel-level segmentation for the objects.
Fan Fan +6 more
doaj +1 more source
Instance Sequence Queries for Video Instance Segmentation with Transformers
Sensors, 2021 Existing methods for video instance segmentation (VIS) mostly rely on two strategies: (1) building a sophisticated post-processing to associate frame level segmentation results and (2) modeling a video clip as a 3D spatial-temporal volume with a limit of
Zhujun Xu, Damien Vivet
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Instance Segmentation in the Dark
International Journal of Computer Vision, 2023 Existing instance segmentation techniques are primarily tailored for high-visibility inputs, but their performance significantly deteriorates in extremely low-light environments. In this work, we take a deep look at instance segmentation in the dark and introduce several techniques that substantially boost the low-light inference accuracy. The proposed
Linwei Chen +4 more
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Semantic segmentation-assisted instance feature fusion for multi-level 3D part instance segmentation
Computational Visual Media, 2023 Recognizing 3D part instances from a 3D point cloud is crucial for 3D structure and scene understanding. Several learning-based approaches use semantic segmentation and instance center prediction as training tasks and fail to further exploit the inherent
Chun-Yu Sun, Xin Tong, Yang Liu
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Remote Sensing, 2021 Instance segmentation of high-resolution aerial images is challenging when compared to object detection and semantic segmentation in remote sensing applications.
Xiangfeng Zeng +6 more
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