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Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation.

, , and . CoRR, (2020)

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LU-Net: Invertible Neural Networks Based on Matrix Factorization., , and . IJCNN, page 1-10. IEEE, (2023)Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities., , , , , , and . IJCNN, page 1-9. IEEE, (2020)Controlled False Negative Reduction of Minority Classes in Semantic Segmentation., , , , and . IJCNN, page 1-8. IEEE, (2020)Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation., , and . CoRR, (2020)The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation., , , , , and . CVPR Workshops, page 1395-1403. Computer Vision Foundation / IEEE, (2019)Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects., , , , and . ACCV (5), volume 13845 of Lecture Notes in Computer Science, page 476-494. Springer, (2022)MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation., , , , and . CoRR, (2019)SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation., , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Detection of False Positive and False Negative Samples in Semantic Segmentation., , , , , and . DATE, page 1351-1356. IEEE, (2020)Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation., , and . ICCV, page 5108-5117. IEEE, (2021)