An improved YOLOv3 model based on skipping connections and spatial pyramid pooling

An improved YOLOv3 model based on skipping connections and spatial pyramid pooling

The cascaded deep-learning network of YOLOv3 emphasizes on the layer-wise feature extraction. It neglects the sequential influence among the layers that contributes to the subtle features for the objects detection. An improved YOLOv3 model with skipping connections is proposed in this paper for the...

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Bibliographic Details
Main Authors: Xinliang Zhang, Wanru Wang, Yunji Zhao, Heng Xie
Format: Article
Language:English
Published: Taylor & Francis Group 2021-04-01
Series:Systems Science & Control Engineering
Subjects:
artificial intelligence
neural networks
cognitive systems
Online Access:http://dx.doi.org/10.1080/21642583.2020.1824132

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