Results 21 to 30 of about 342,749 (263)

Instance Segmentation of Microscopic Foraminifera

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, Steffen Aagaard Sørensen, Kajsa Møllersen, Fred Godtliebsen   +3 more
doaj   +1 more source

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.
Zheng, Ye, Wu, Jiahong, Qin, Yongqiang, Zhang, Faen, Cui, Li   +4 more
openaire   +2 more sources

Improved Instance Segmentation Method Based on Anchor-Free Segmentation Network [PDF]

Jisuanji gongcheng, 2022
In autonomous driving application scenarios, the existing anchor-free instance segmentation methods have problems such as large target features covering small target features, lack of a Region Of Interest (ROI)-Align operation in the two-stage detector ...
LIU Teng, LIU Hongzhe, LI Xuewei, XU Cheng
doaj   +1 more source

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, Jiadian Liang, Chen Wang, Jun Shi, Xiaoling Zhang   +6 more
doaj   +1 more source

An Innovative Deep Learning Approach for Image Semantic and Instance Segmentation

Journal of Computing and Information Technology, 2023
In this study, we propose a segmentation model based on convolutional neural networks (CNNs) to address image segmentation challenges in computer vision.
Chuangchuang Chen, Guang Gao, Linlin Liu, Yangyang Qiao   +3 more
doaj   +1 more source

Attention-Based Joint Semantic-Instance Segmentation of 3D Point Clouds

Advances in Electrical and Computer Engineering, 2022
In this paper, we propose an attention-based instance and semantic segmentation joint approach, termed ABJNet, for addressing the instance and semantic segmentation of 3D point clouds simultaneously.
HAO, W., WANG, H., LIANG, W., ZHAO, M., XIAO, Z.   +4 more
doaj   +1 more source

Instance Segmentation in Very High Resolution Remote Sensing Imagery Based on Hard-to-Segment Instance Learning and Boundary Shape Analysis

Remote Sensing, 2021
Although great success has been achieved in instance segmentation, accurate segmentation of instances remains difficult, especially at object edges. This problem is more prominent for instance segmentation in remote sensing imagery due to the diverse ...
Yiping Gong, Fan Zhang, Xiangyang Jia, Zhu Mao, Xianfeng Huang, Deren Li   +5 more
doaj   +1 more source

Instance segmentation ship detection based on improved Yolov7 using complex background SAR images

Frontiers in Marine Science, 2023
It is significant for port ship scheduling and traffic management to be able to obtain more precise location and shape information from ship instance segmentation in SAR pictures.
Muhammad Yasir, Lili Zhan, Shanwei Liu, Jianhua Wan, Md Sakaouth Hossain, Arife Tugsan Isiacik Colak, Mengge Liu, Qamar Ul Islam, Syed Raza Mehdi, Qian Yang   +9 more
doaj   +1 more source

Recurrent Instance Segmentation [PDF]

, 2016
14 pages (main paper).
Bernardino Romera-Paredes, Philip Hilaire Sean Torr   +1 more
openaire   +3 more sources

YOLACT: Real-Time Instance Segmentation [PDF]

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Updated for ICCV 2019 and added ...
Bolya, Daniel, Zhou, Chong, Xiao, Fanyi, Lee, Yong Jae   +3 more
openaire   +2 more sources