Jun 23, 2022 · Artificial Intelligence

YOLOv6: An Efficient Industrial Object Detection Framework

YOLOv6, developed by Meituan's Vision Intelligence team, introduces a hardware‑friendly backbone, an efficient decoupled head, and advanced training strategies that together achieve up to 35.0% AP at 1242 FPS on COCO while outperforming YOLOv5, YOLOX and other same‑size models across multiple deployment platforms.

SIoU lossSimOTAYOLOv6

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YOLOv6: An Efficient Industrial Object Detection Framework

Tencent Cloud Developer

Mar 6, 2020 · Artificial Intelligence

WeChat "Scan" Object Detection: Mobile AI Model Design, Optimization, and Deployment

The paper presents a lightweight, anchor‑free CenterNet‑based object‑ness detector for WeChat’s Scan feature, built on a ShuffleNetV2 backbone with enlarged 5×5 depth‑wise convolutions, a streamlined detection head, and a Pyramid Interpolation Module, then quantized, ONNX‑converted and NCNN‑deployed to achieve a 436 KB model running in ~15 ms per frame on an iPhone 8 CPU.

CenterNetMobile AIModel Optimization

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WeChat "Scan" Object Detection: Mobile AI Model Design, Optimization, and Deployment