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A feature-based adaptive weighted fusion algorithm was proposed that effectively enhances the clarity and completeness of the fused images and provides a new lightweight option for target detection and recognition.
RGD-Net, a new depth estimation network that incorporates RGB geometric priors that can capture long-range spatial dependencies and reduce local noise interference, is suggested, and experimental results indicate that RGD-Net is promising for range-gated 3D imaging in autonomous perception tasks.
Adversarial patch attacks are core tools to evaluate adversarial robustness in remote sensing image classification, yet existing methods with fixed patch shapes and single-model optimization yield poor cross-architecture black-box transferability. This paper proposes the Dynamic Patch Shape Selection Framework (DPSF),...
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