RTAD: A Real-Time Animal Object Detection Model Based on a Large Selective Kernel and Channel Pruning
Author:
Affiliation:
1. College of Information Engineering, Northwest A & F University, 3 Taicheng Road, Yangling, Xianyang 712100, China
2. Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Abstract
Publisher
MDPI AG
Subject
Information Systems
Link
https://www.mdpi.com/2078-2489/14/10/535/pdf
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3. Recent advances in wearable sensors for animal health management;Neethirajan;Sens. Bio-Sens. Res.,2017
4. YOLO-BYTE: An efficient multi-object tracking algorithm for automatic monitoring of dairy cows;Zheng;Comput. Electron. Agric.,2023
5. Wang, C.Y., Bochkovskiy, A., and Liao, H.Y.M. (2022). YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. arXiv.
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