Abstract: How to identify and segment camouflaged objects from the background is challenging. Inspired by the multi-head self-attention in Transformers, we present a simple masked separable attention ...

A tiny screw. A precise angle. How America built a hidden empire, one standard at a time.

How thoughtful UI object selection can improve usability, reduce PLC programming, and streamline application development.

Abstract: Object detection (OD) is an essential and fundamental task in computer vision (CV) and satellite image processing. Existing deep learning methods have achieved impressive performance thanks ...

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The University of Cambridge has objected to the current plans for East-West Rail (EWR) because of concerns about a number of its sites, including an "internationally renowned" observatory. The £6bn ...

HOI-DETR is a transformer-based framework for detecting hands, hand-held objects, and their interactions in images and video. Built on the Co-DETR architecture, it adds a lightweight interaction ...

Since August 2025, a UFO-reporting app has recorded more than 9,000 sightings of mysterious unidentified objects close to U.S. coastlines and major bodies of water, according to Marine Technology News ...

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 ...