Computer Science
Enhancing Object Detection Robustness: A Synthetic and Natural Perturbation Approach
N. Premakumara, B. Jalaian, et al.
Discover the cutting-edge research by Nilantha Premakumara, Brian Jalaian, Niranjan Suri, and Hooman Samani, which explores how synthetic perturbations can boost the robustness of object detection models against real-world challenges such as varying lighting and blur. This study sheds light on how these advancements can lead to more reliable detection systems.
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