Neural Architecture Search (NAS) serves as a performance engine for automated machine learning, driving intelligent advancements across various domains. However, its development has been significantly constrained by the prohibitively high computational costs involved. Training-Free Neural Architecture Search (TFNAS)...
Unmanned aerial vehicles (UAVs) have become essential platforms for remote sensing in challenging environments such as high-dynamic-range (HDR) scenes and low-texture areas. However, conventional frame-based visual–inertial simultaneous localization and mapping (SLAM) systems often suffer from motion blur and overexpos...
Jun-Yang Zhao, Han Yu, Zhi-Li Zhang et al.· Drones· 0 citations
Small-object detection in unmanned aerial vehicle (UAV) imagery remains challenging because target objects often occupy only a few pixels, exhibit weak feature responses, and are easily obscured by complex backgrounds. These aspects significantly limit the effectiveness of end-to-end detection systems. To overcome thes...