Navigating the Domain Shift: Object Detection in Indian Road Datasets
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64067-4_21
Reference31 articles.
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2. Gupta, A., Anpalagan, A., Guan, L., Khwaja, A.S.: Deep learning for object detection and scene perception in self-driving cars: survey, challenges, and open issues. Array 1(10), 100057 (2021)
3. Arkin, E., Yadikar, N., Xu, X., et al.: A survey: object detection methods from CNN to transformer. Multimed Tools Appl. 82, 21353–21383 (2023). https://doi.org/10.1007/s11042-022-13801-3
4. Balasubramaniam, A., Pasricha, S.: Object detection in autonomous vehicles: Status and open challenges. arXiv preprint arXiv:2201.07706 (2022)
5. Mahaur, B., Singh, N., Mishra, K.K.: Road object detection: a comparative study of deep learning-based algorithms. Multimed Tools Appl. 81, 14247–14282 (2022). https://doi.org/10.1007/s11042-022-12447-5
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