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MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps.

, , , and . ICPRAM, page 51-62. SCITEPRESS, (2021)

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A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance., , , and . CoRR, (2024)Fake It, Mix It, Segment It: Bridging the Domain Gap Between Lidar Sensors., , and . ICPRAM, page 743-750. SCITEPRESS, (2023)False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation., , , and . ICTAI, page 18-25. IEEE, (2021)Uncertainty Quantification and its Applications for Multimodal Semantic Segmentation.. University of Wuppertal, Germany, (2022)HD Lane Map Generation Based on Trail Map Aggregation., , and . IV, page 600-606. IEEE, (2022)Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities., , , , , , and . IJCNN, page 1-9. IEEE, (2020)MetaBox+: A New Region based Active Learning Method for Semantic Segmentation using Priority Maps., , , and . ICPRAM, page 51-62. SCITEPRESS, (2021)LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds., , , , , , , , , and . DAGM, volume 14264 of Lecture Notes in Computer Science, page 85-99. Springer, (2023)