Moritz Sperling, Yann Bouteiller, Ricardo De Azambuja and Giovanni Beltrame
Paper (2020)
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| Department: | Department of Computer Engineering and Software Engineering |
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| ISBN: | 9781728198910 |
| PolyPublie URL: | https://publications.polymtl.ca/45686/ |
| Conference Title: | 17th Conference on Computer and Robot Vision (CRV 2020) |
| Conference Location: | Ottawa, ON |
| Conference Date(s): | 2020-05-13 - 2020-05-15 |
| Publisher: | IEEE |
| DOI: | 10.1109/crv50864.2020.00024 |
| Official URL: | https://doi.org/10.1109/crv50864.2020.00024 |
| Date Deposited: | 18 Apr 2023 15:01 |
| Last Modified: | 08 Apr 2025 12:24 |
| Cite in APA 7: | Sperling, M., Bouteiller, Y., De Azambuja, R., & Beltrame, G. (2020, May). Domain Generalization via Optical Flow: Training a CNN in a Low-Quality Simulation to Detect Obstacles in the Real World [Paper]. 17th Conference on Computer and Robot Vision (CRV 2020), Ottawa, ON. https://doi.org/10.1109/crv50864.2020.00024 |
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