Tiny Object Detection in Remote Sensing Images Based on Object Reconstruction and Multiple Receptive Field Adaptive Feature Enhancement
Author:
Affiliation:
1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10478927.pdf?arnumber=10478927
Reference61 articles.
1. Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning
2. Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images
3. Object detection in optical remote sensing images: A survey and a new benchmark
4. Remote Sensing Object Detection Based on Gated Context-Aware Module
5. An Adaptive Attention Fusion Mechanism Convolutional Network for Object Detection in Remote Sensing Images
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1. LARS: Remote Sensing Small Object Detection Network Based on Adaptive Channel Attention and Large Kernel Adaptation;Remote Sensing;2024-08-08
2. Small-Object Detection in Remote Sensing Images With Super-Resolution Perception;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
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