YOLOE-Unified is a novel framework that integrates YOLOE with distilled CLIP, runtime SAM refinement, and TensorRT optimization for efficient open-vocabulary object detection and instance segmentation on edge devices (Jetson Orin, etc.).
computer-vision zero-shot-learning instance-segmentation multimodal-fusion edge-deployment open-vocabulary-detection real-time-inference tensorrt-optimization
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Updated
Jan 2, 2026 - Python