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 ...

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 ...

Abstract: Recent real-time detection transformers (DETRs) have gained popularity due to their simplicity and efficiency. However, these detectors do not explicitly model object rotation, especially in ...