IEEE

Dual-Stream Global Relationship Learning for Oriented Object Detection in Remote Sensing Images

Abstract: Oriented object detection has attained remarkable progress in addressing the challenges associated with rotating invariant feature extraction. However, most existing object detection most ...
Digital Information World

Study Links Frequent AI Chatbot Use to Lower Scores in Programming Course

University of Tartu study finds frequent AI chatbot use linked with lower programming grades, highlighting overreliance risks ...
C&EN

Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations

Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 17, 1090 Vienna, Austria Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Währinger ...
IEEE

DFDNet: Deep Feature Decoupling for Oriented Object Detection

Abstract: Objects in remote sensing images exhibit diverse orientations. Current oriented object detection (OOD) methods estimate the object angle by designing different loss functions and bounding ...