DART: Training-Free Framework Converts SAM to Real-Time Detector
rsasaki0109 · x · 2026-08-29
DART (Detect Anything in Real Time) is a training-free framework designed to convert frontier object detection models (like SAM) into real-time, multi-class, open-vocabulary detectors.
Performance:
- Achieves 15.8 FPS on a single RTX 4080 for 4-class, 1008px resolution images.
- Scores 55.8 AP on the COCO val2017 dataset (80 classes).
The framework addresses the efficiency bottleneck of existing models like SAM in real-time multi-class detection applications.
Related event: DART Turns SAM into a Real-Time Open-Vocabulary Detector Without Training(2 posts)→
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