Old things evoke nostalgia, identity, and emotional continuity. Their stories, imperfections, and endurance help us feel ...
Abstract: This work designs and implements a custom hardware accelerator for single object classification from drone imagery, for surveillance applications. A lightweight attention-based convolutional ...
Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...