Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks-Reference-Cited by-同舟云学术

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Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Akiva Peri¹,Purri Matthew¹,Leotta Matthew²

Affiliation:

1. Rutgers University

2. Kitware Inc

Funder

Office of the Director of National Intelligence (ODNI)

Intelligence Advanced Research Projects Activity (IARPA)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880082.pdf?arnumber=9880082

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-branch network based on transformer for texture recognition;Digital Signal Processing;2024-10

2. PRX-Change: Enhancing remote sensing change detection through progressive feature refinement and Cross-Attention interaction;International Journal of Applied Earth Observation and Geoinformation;2024-08

3. LBCNIN: Local Binary Convolution Network with Intra-Class Normalization for Texture Recognition with Applications in Tactile Internet;Electronics;2024-07-25

4. Large Structure Change Detection in Medium-Resolution Satellite Imagery Via Transfer Learning And Scaling Strategies;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Fractal pooling: A new strategy for texture recognition using convolutional neural networks;Expert Systems with Applications;2024-06

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