Robots can locate objects with cameras, but that is not always enough when the target is tiny, irregular, or partly hidden.

Abstract: Small object detection is a challenge in traffic scenarios, since fewer pixels of small object result in less feature information and larger localization ...

Abstract: Although existing camouflaged object detection (COD) approaches have developed various strategies to improve performance, there remains plenty of room for further improvement. The primary ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

LD is the extension of knowledge distillation on localization task, which utilizes the learned bbox distributions to transfer the localization dark knowledge from teacher to student. LD stably ...

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...

ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...