A Multiple Prediction Mechanisms Ensemble for Complex Remote Sensing Scenes
LQ Feng, L Luo Jun, Y Yuan Long, G Fu - Proceedings of the 31st ACM …, 2023 - dl.acm.org
Facing complex remote sensing scenes, detection models with single detection mechanisms
cannot always provide satisfactory detection capabilities. In order to obtain better detection …
cannot always provide satisfactory detection capabilities. In order to obtain better detection …
Dual-branch neural operator for enhanced out-of-distribution generalization
J Li, M Yang - Engineering Analysis with Boundary Elements, 2025 - Elsevier
Neural operators, which learn mappings between function spaces, offer an efficient
alternative for solving partial differential equations. However, their generalization to out-of …
alternative for solving partial differential equations. However, their generalization to out-of …
[HTML][HTML] HVConv: Horizontal and Vertical Convolution for Remote Sensing Object Detection
Generally, the interesting objects in aerial images are completely different from objects in
nature, and the remote sensing objects in particular tend to be more distinctive in aspect …
nature, and the remote sensing objects in particular tend to be more distinctive in aspect …
AODet: Aerial Object Detection Using Transformers for Foreground Regions
Aerial object detection is an important task and has received significant attention in recent
years. Aerial images typically depict small and sparse instances against a simple …
years. Aerial images typically depict small and sparse instances against a simple …