FE-P Net: An Image-Enhanced Parallel Density Estimation Network for Meat Duck Counting

FE-P Net: An Image-Enhanced Parallel Density Estimation Network for Meat Duck Counting

Traditional object detection methods for meat duck counting suffer from high manual costs, low image quality, and varying object sizes. To address these issues, this paper proposes FE-P Net, an image enhancement-based parallel density estimation network that integrates CNNs with Transformer models....

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Bibliographic Details
Main Authors: Huanhuan Qin, Wensheng Teng, Mingzhou Lu, Xinwen Chen, Ye Erlan Xieermaola, Saydigul Samat, Tiantian Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
Transformer
meat duck counting method
large-scale breeding
image enhancement
multi-scale features
Online Access:https://www.mdpi.com/2076-3417/15/7/3840
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