Neighborhood sampling confidence metric for object detection

Author:

Gouguenheim Christophe,Berjaoui Ahmad

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference21 articles.

1. Chen, T., Navratil, J., Iyengar, V., Shanmugam, K.: Confidence scoring using whitebox meta-models with linear classifier probes. In: Chaudhuri, K., Sugiyama, M. (eds) Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, 89, 1467—1475 (2019)

2. Corbière, C., Thome, N., Bar-Hen, A., Cord, M., Pérez, P.: Addressing failure prediction by learning model confidence (2019). arXiv preprint arXiv:1910.04851

3. Corbière, C., Thome, N., Saporta, A., Vu, T.-H., Cord, M., Pérez, P.: Confidence estimation via auxiliary models (2020). arXiv preprint arXiv:2012.06508

4. Delseny, H., Gabreau, C., Gauffriau, A., Beaudouin, B., Ponsolle, L., Alecu, L., Bonnin, H., Beltran, B., Duchel, D., Ginestet, J.-B.: White paper machine learning in certified systems (2021). arXiv preprint arXiv:2103.10529

5. Denker, J.S., Lecun, Y.: Transforming neural-net output levels to probability distributions. Adv. Neural Inform. Process. Syst. 853—859 (1991)

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