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An efficient scale-aware model based on the improved RT-DETR for pomegranate growth stage detection

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成果类型:
期刊论文
作者:
Wang, Song;Dong, Shaocong;Chen, Shiyu;Liu, Mingyu
通讯作者:
Dong, SC
作者机构:
[Dong, Shaocong; Wang, Song; Liu, Mingyu; Chen, Shiyu] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430040, Hubei, Peoples R China.
通讯机构:
[Dong, SC ] W
Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430040, Hubei, Peoples R China.
语种:
英文
关键词:
Pomegranate growth stages;Object detection;Vision transformer;DETR;Multi-scale targets
期刊:
Neurocomputing
ISSN:
0925-2312
年:
2025
卷:
647
页码:
130462
机构署名:
本校为第一且通讯机构
院系归属:
数学与计算机学院
摘要:
The phenotypic characteristics of pomegranates at different growth stages significantly influence yield, making real-time detection essential for optimizing production. Additionally, complex environmental conditions complicate this process. Current research on pomegranate growth stage detection is scarce, with many studies ignoring environmental interference. To address these gaps, this study proposes a hybrid and efficient scale-aware pomegranate detection transformer model (HESP-DETR) based on Real-Time DEtection TRansformer (RT-DETR). Firstl...

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