Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.
Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...
Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
A research team led by Prof. Seung Hwan Ko of Seoul National University College of Engineering's Department of Mechanical ...
Abstract: Traditional attendance systems have struggled to maintain accuracy, security, and efficiency in this regard in recent years. This paper addresses these challenges by proposing using ...
Vienna, Austria, June 25, 2026 — digna, the European data quality and observability platform, today announced the release of digna 2026.06, introducing a new Python SDK and Docker deployment support ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results