Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures-Reference-Cited by-同舟云学术

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Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Wu Linshan¹,Zhong Zhun²,Fang Leyuan¹,He Xingxin¹,Liu Qiang¹,Ma Jiayi³,Chen Hao⁴

Affiliation:

1. College of Electrical and Information Engineering, Hunan University

2. University of Trento,Department of Information Engineering and Computer Science

3. School of Electronic Information, Wuhan University

4. Hong Kong University of Science and Technology,Department of Computer Science and Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203095.pdf?arnumber=10203095

Reference61 articles.

1. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

2. Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation

3. The Cityscapes Dataset for Semantic Urban Scene Understanding

4. Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images

5. Semantic contours from inverse detectors

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4. A Hyperparameter-Free Attention Module Based on Feature Map Mathematical Calculation for Remote-Sensing Image Scene Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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