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edge-ai
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RF-DETR vs YOLO-NAS: A Practical Benchmark for Edge Deployment — CPU, GPU, and Intel iGPU Compared
RF-DETR Nano vs YOLO-NAS-S on COCO across CPU, CUDA GPU, and Intel Iris Xe iGPU — two resolutions, OpenVINO FP32/FP16/INT8, and a custom fine-tune, all under one consistent evaluation. RF-DETR wins accuracy; YOLO-NAS wins latency, efficiency, and INT8.
computer-visionobject-detectionopenvinoIntelSoftwareInnovator
CNN vs Transformer, quantized: YOLO26-seg and RF-DETR-Seg race for instance masks on an Intel iGPU
Two opposite small segmentation models — a 2026-era CNN and a DETR transformer — both quantized to INT8 with NNCF and run on a laptop Intel iGPU. YOLO26-seg's forward pass is ~7.4× faster; RF-DETR-Seg keeps its masks more faithful under INT8. The whole shootout, numbers first.
computer-visioninstance-segmentationopenvinoIntelSoftwareInnovator