Efficient VLSI Design of a Lightweight CNN for On-Chip Retinal Disease Detection Using Fundus Images
Abstract: This study is done to enable real-time diagnosis of retinal diseases from fundus images using a hardwarecompatible and efficient convolutional neural network (CNN) architecture. A ...
Abstract: Open world object detection (OWOD) aims to identify both known instances of trained classes and unknown ones. Despite recent advancements, existing methods exhibit a detection bias towards ...
Abstract: Machine vision-based anti-drone detection systems enable long-range, cost-effective target monitoring in complex environments. However, small drones typically occupy only a few pixels in ...
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