Snowflake occlusion, reflections from accumulated snow, and low-contrast imaging in snowy environments can degrade target features and impair road-object detection performance. To address these challenges, this paper proposes SFE-Mamba, a snowy-weather object detection network built on Mamba-YOLO. First, a Snow Spatial...
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)...
This work proposes HESVI, a hybrid marginalization and adaptive heterogeneous kernel state estimation method for UAV remote sensing that effectively enhances the numerical stability, scene adaptability, and localization accuracy of event-based stereo visual–inertial SLAM systems in challenging UAV remote-sensing enviro...
Jun-Yang Zhao, Han Yu, Zhi-Li Zhang et al.· Drones· 0 citations
This paper proposes MPC-DETR, a Multi-scale Patch Context Transformer that is based on RT-DETR and suggests that MPC-DETR provides precise, strong, and efficient small-object detection in complicated UAV images.
