Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI systems without hacking their software. Self-driving cars, autonomous robots ...
Abstract: Cropland change detection in remote sensing is hindered by spatial heterogeneity and temporal noise, leading to misaligned representations and erroneous change identification. We propose the ...
Abstract: This paper explores the application of various deep learning-based detection networks in the field of metal surface defect detection. The study focuses on the performance comparison of three ...
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