Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...
Abstract: We propose a computer vision and deep learning-based novel framework for segmenting traffic scenes and road surface anomalies in unstructured environments. These anomalies, like potholes, ...
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