A Lite-CNN for Landslides Recognition on Remote Sensing Images Via Structure Pruning
Author:
Affiliation:
1. Xidian Univerisity,School of Artificial Intelligence,Xi’An,China
2. Institute of Automation, Chinese Academy of Sciences,NLPR,Beijing,China
Funder
National Natural Science Foundation of China
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282236.pdf?arnumber=10282236
Reference11 articles.
1. EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers
2. Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks
3. Run, don’t walk: Chasing higher flops for faster neural networks;chen,2023
4. Lightweight convolutional neural network for bitemporal SAR image change detection
5. MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
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1. Block Pruning And Collaborative Distillation For Image Classification Of Remote Sensing;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
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