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Chapter and Conference Paper
A Physically Feasible Counter-Attack Method for Remote Sensing Imaging Point Clouds
This research introduces an innovative approach to address the vulnerability of deep learning-based point cloud target recognition systems to adversarial sample attacks. Instead of directly tampering with the ...
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Chapter and Conference Paper
Blind Image Quality Assessment Method Based on DeepSA-Net
Blind image quality assessment refers to the accurate prediction of the visual quality of any input image without a reference image. With the rapid growth of the number of images and increasing requirements fo...
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Chapter and Conference Paper
Information Lossless Multi-modal Image Generation for RGB-T Tracking
Visible-Thermal infrared(RGB-T) multimodal target representation is a key issue affecting RGB-T tracking performance. It is difficult to train a RGB-T fusion tracker in an end-to-end way, due to the lack of an...