Garbage Classification and Detection Based on Improved YOLOv7 Network
Author:
Affiliation:
1. Taiyuan University of Science and Technology,Taiyuan,China
2. Independent Researcher,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10145095/10145074/10145107.pdf?arnumber=10145107
Reference9 articles.
1. Fractional Max-Pooling[J];graham,2014
2. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[J];wang,2022
3. Joint bilateral upsampling[J];johannes;TOG,2007
4. Spam detection and classification of YOLO neural network [j];wei;Journal of Electronic Science and Technology,2022
5. A Lightweight Neural Network Based on AlexNet-SSD Model for Garbage Detection
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