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: In recent years, the integration of CNN and Transformer network architectures has played a pivotal role in the field of change detection in remote sensing. The most recent research has ...