Sep 27, 2023 · The report presents the results of 19 submitted entries, with numerous techniques drawing inspiration from cutting-edge uncertainty ...
The challenge was centered around semantic segmentation in urban environments, with a par- ticular focus on natural adversarial scenarios. The report presents ...
Apr 4, 2024 · This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023.
The report presents the results of 19 submitted entries, with numerous techniques drawing inspiration from cutting-edge uncertainty quantification methodologies ...
The Robust Semantic Segmentation UNCV2023 Challenge Results
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This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023, which primarily revolved ...
Oct 6, 2023 · Within this document, the challenge is introduced, shedding light on its purpose and objectives, which primarily revolved around enhancing the ...
Apr 27, 2024 · Based on the experimental results as well as the exploration of segments descriptions and trend dynamics, we propose extensions to this approach ...
Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models. Roberto Alcover-Couso,. Juan C.
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Sep 27, 2023 · The Robust Semantic Segmentation UNCV2023 Challenge Results. Xuanlong ... enhancing the robustness of semantic segmentation in urban.