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Beyond In-Domain Scenarios: Robust Density-Aware Calibration (bibtex)
Beyond In-Domain Scenarios: Robust Density-Aware Calibration (bibtex)
by C Tomani, F Waseda, Y Shen and D Cremers
Reference:
Beyond In-Domain Scenarios: Robust Density-Aware Calibration (C Tomani, F Waseda, Y Shen and D Cremers), In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023. 
Bibtex Entry:
@inproceedings{tomani2023dac,
 title = {Beyond In-Domain Scenarios: Robust Density-Aware Calibration},
 author = {C Tomani and F Waseda and Y Shen and D Cremers},
 booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML)},
 year = {2023},
 eprint = {2302.05118},
 eprinttype = {arXiv},
 keywords = {deep learning},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group