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Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection. (arXiv:2208.14508v1 [cs.CV])
Sept. 1, 2022, 1:14 a.m. | Shenglian Lu (1), Xiaoyu Liu (1), Zixaun He (2), Manoj Karkee (2), Xin Zhang (3) ((1) Guangxi normal university, China, (2) Washington State Universit
cs.CV updates on arXiv.org arxiv.org
In this research, an integrated detection model, Swin-transformer-YOLOv5 or
Swin-T-YOLOv5, was proposed for real-time wine grape bunch detection to inherit
the advantages from both YOLOv5 and Swin-transformer. The research was
conducted on two different grape varieties of Chardonnay (always white berry
skin) and Merlot (white or white-red mix berry skin when immature; red when
matured) from July to September in 2019. To verify the superiority of
Swin-T-YOLOv5, its performance was compared against several commonly
used/competitive object detectors, including Faster R-CNN, …
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