Indian TSR for partial occlusion using GDNN
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16168-1.pdf
Reference60 articles.
1. Arcos-García A, Alvarez-Garcia JA, Soria-Morillo LM (2018) Deep neural network for traffic sign recognition systems: an analysis of spatial transformers and stochastic optimisation methods. Neural Netw 99:158–165
2. Arun PL, Kumar RMS (2021) Non-linear Sorenson-dice exemplar image inpainting based bayes probability for occlusion removal in remote traffic control. Multimed Tools Appl 80(8):11523–11538
3. Baruah A Kumar R, Gupta M (2023) Analysis of traffic sign recognition for automated transportation systems using neural networks. In: 8th International Conference for Convergence in Technology (I2CT). IEEE, pp 1–5
4. Brown TB, Mané D, Roy A, Abadi M, Gilmer J (2017) Adversarial patch. Preprint at http://arxiv.org/abs/1712.09665
5. Chincholkar YD, Kumar A (2019) Traffic sign board detection and recognition for autonomous vehicles and driver assistance systems. ICTACT Journal on Image & Video Processing 9(3):1954–1959
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