Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models 事件

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models arXiv:2606.03748v1 Announce Type: new Abstract: Real-time vision demands models that are accurate, efficient, and simple to deploy across diverse hardware. The YOLO family has become widely deployed for this reason, yet most YOLO detectors still rely on non-maximum suppression at inference, carry heavy detection heads due to Distribution Focal Loss, require long training schedules, and can leave the smallest objects without positive