Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error
Paper
Wang, Z., Luo, Y., Chen, Z., Wang, S. and Huang, Z.. "Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error." Proceedings of the 31st ACM International Conference on Multimedia 2023. https://doi.org/10.1145/3581783.3611808
Paper/Presentation Title | Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error |
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Presentation Type | Paper |
Authors | Wang, Z., Luo, Y., Chen, Z., Wang, S. and Huang, Z. |
Digital Object Identifier (DOI) | https://doi.org/10.1145/3581783.3611808 |
Conference/Event | Proceedings of the 31st ACM International Conference on Multimedia 2023 |
Event Details | Proceedings of the 31st ACM International Conference on Multimedia 2023 |
ANZSRC Field of Research 2020 | 4602. Artificial intelligence |
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https://research.usq.edu.au/item/zyx42/cal-sfda-source-free-domain-adaptive-semantic-segmentation-with-differentiable-expected-calibration-error
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