Outliers—Do Image and Feature Domain Outliers Coincide in Robotic Applications?
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59257-7_2
Reference21 articles.
1. Bevandić, P., Krešo, I., Oršić, M., Šegvić, S.: Dense outlier detection and open-set recognition based on training with noisy negative images. arXiv preprint arXiv:2101.09193 (2021)
2. Brophy, T., Mullins, D., Parsi, A., Horgan, J., Ward, E., Denny, P., Eising, C., Deegan, B., Glavin, M., Jones, E.: A review of the impact of rain on camera-based perception in automated driving systems. IEEE Access 11, 67040–67057 (2023)
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5. Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? The kitti vision benchmark suite. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2012)
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