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Wheat ear detection using anchor-free ObjectBox model with attention mechanism

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成果类型:
期刊论文
作者:
Wang, Meng;Sun, Kaiqiong;Guo, An
通讯作者:
Kaiqiong Sun
作者机构:
[Guo, An; Sun, Kaiqiong; Wang, Meng] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Peoples R China.
通讯机构:
[Kaiqiong Sun] S
School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China
语种:
英文
关键词:
Wheat ear detection;ObjectBox;Convolutional block attention module;ConvNeXt
期刊:
Signal, Image and Video Processing
ISSN:
1863-1703
年:
2023
卷:
17
期:
7
页码:
3425-3432
基金类别:
This research did not receive any specific grant.
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
This paper proposes an anchor-free wheat ear detection method using ObjectBox with attention. First, on base of the backbone of ObjectBox, convolutional block attention module is used to improve the connection of each feature in the channel and space and enhance the feature extraction ability of the network. Second, in the neck part, ConvNeXtBlock is used to better fuse or extract the feature map given by the backbone. Last, the non-maximum suppression algorithm is improved to remove the center redundant detection box. The experimental results on the public global wheat head detection dataset ...

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