IEEE

Oriented Object Detection for Remote Sensing Images via Object-Wise Rotation-Invariant Semantic Representation

Abstract: Oriented object detection (OOD) in remote sensing images (RSIs) remains a challenging work due to an arbitrary orientation of instances. Learning rotation-invariant features is critical in ...
GitHub

Precise Object and Effect Removal with Adaptive Target-Aware Attention

OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...
Belfast Telegraph

Two examples of the firms whose security codes have been compromised by the discovery of confidential documents at a waste disposal site

A LEADING security company today launched an internal investigation after a major secrecy breach involving the alarm codes of a string of Northern Ireland business premises. Group 4 Securicor was ...
The Washington Post

After Mormon lawmakers object, Pentagon revises Christian religious categories

The Defense Department on Monday edited its new list of religious “codes” for service members so that no group is labeled “Christian” — drawing praise from Mormon lawmakers who were angered last week ...
IEEE

OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Images

Abstract: Oriented object detection in remote sensing images is a challenging task due to objects being distributed in multiorientation. Recently, end-to-end transformer-based methods have achieved ...