May 31, 2024 · This paper introduces a benchmark for predictive uncertainty quantification in BEV segmentation. The benchmark assesses various approaches across three popular ...
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May 31, 2024 · The benchmark assesses various approaches across three popular datasets using two representative backbones and focuses on the effectiveness of ...
Sep 11, 2024 · The benchmark assesses various approaches across three popular datasets using two representative backbones and focuses on the effectiveness of ...
We present an extensive benchmark for evaluating uncer- tainty quantification for BEV semantic segmentation. This benchmark examines the performance of five ...
Sep 27, 2024 · This paper introduces a comprehensive benchmark for predictive uncertainty quantification in BEV segmentation, evaluating multiple approaches ...
Jun 2, 2024 · This paper explores methods for quantifying uncertainty in bird's eye view (BEV) semantic segmentation, which is a key task in autonomous ...
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks. L. Yu, B. Yang, T. Wang, K. Li, and F. Chen. CoRR, (2024 ).
Aug 7, 2023 · In this paper, we evaluate various uncertainty quantification methods for BEV semantic segmentation based on two benchmark datasets (CARLA and ...
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks. There is growing interest in using deep learning models for BEV ...
This paper introduces a comprehensive benchmark for predictive uncertainty quantification in BEV segmentation, evaluating multiple approaches across three ...