Multi-scale Fusion-Based Object Detection Network for Advance Driver Assistance Systems
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2602-2_19
Reference27 articles.
1. Ghiasi G, Lin TY, Le QV (2019) NAS-FPN: learning scalable feature pyramid architecture for object detection. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 7036–7045
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3. Patil AP, Sunagar P, Ganesan K, Kumar B, Sethi K (2021) Simulating the concept of self-driving cars using deep-Q learning. In: Machine learning for predictive analysis. Springer, Singapore, pp 321–333
4. Dhillon A, Verma GK (2020) Convolutional neural network: a review of models, methodologies and applications to object detection. Progr Artif Intell 9(2):85–112
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