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Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities.

, , , , , , and . IJCNN, page 1-9. IEEE, (2020)

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Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation., , and . CoRR, (2020)Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss., , and . CoRR, (2022)A-Eye: Driving with the Eyes of AI for Corner Case Generation., , and . CHIRA, page 41-48. SCITEPRESS, (2022)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)Controlled False Negative Reduction of Minority Classes in Semantic Segmentation., , , , and . IJCNN, page 1-8. IEEE, (2020)Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities., , , , , , and . IJCNN, page 1-9. IEEE, (2020)Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection., , , , and . VISIGRAPP (2): VISAPP, page 366-374. SCITEPRESS, (2024)Deep Bayesian Active Semi-Supervised Learning., , and . ICMLA, page 158-164. IEEE, (2018)LU-Net: Invertible Neural Networks Based on Matrix Factorization., , and . IJCNN, page 1-10. IEEE, (2023)