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 ...

ABSTRACT: Artisanal and small-scale (ASM) gold mining activities contribute to the livelihoods of about 200,000 miners and their dependents in the eastern provinces of the Democratic Republic of the ...

Abstract: Camouflaged object detection (COD) aims to discover objects that are seamlessly embedded in the environment. Existing COD methods have made significant progress by typically representing ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. This manuscript ...

Keeping a training log is one of the most powerful tools for improving cycling performance — not just for recording miles and watts, but for analyzing what truly leads to success. A recent study ...

Electromagnetic Spectrum (EMS) operations in contested environments require battlefield assumptions based on mission dependent factors and complex electronic warfare (EW) concepts. To Soldiers ...

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of their ...

Veronica Paulus is a former STAT intern supported by the Harvard University Institute of Politics. A new blood test could predict preeclampsia as early as the first trimester. In a new study, ...

This repository is the official implementation of LMM-Det, a simple yet effective approach that leverages a Large Multimodal Model for vanilla object Detection without relying on specialized detection ...

ABSTRACT: AI techniques are proving unbeatable in the fight for supremacy in methods of evaluation, optimization, control, object recognition, sensor monitoring, image interpretation, machine learning ...