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Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates., , , , и . CoRR, (2020)Detection of False Positive and False Negative Samples in Semantic Segmentation., , , , , и . DATE, стр. 1351-1356. IEEE, (2020)Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks., , и . ICTAI, стр. 502-509. IEEE, (2020)False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates.. ICTAI, стр. 1279-1286. IEEE, (2021)Detection of False Positive and False Negative Samples in Semantic Segmentation., , , , , и . CoRR, (2019)False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation., и . CoRR, (2022)An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks., , , , , , , , , и . CVPR Workshops, стр. 12-20. Computer Vision Foundation / IEEE, (2021)Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation., и . VISIGRAPP (2): VISAPP, стр. 37-46. SCITEPRESS, (2024)Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation., и . CoRR, (2023)Detection of Iterative Adversarial Attacks via Counter Attack., , , , и . J. Optim. Theory Appl., 198 (3): 892-929 (сентября 2023)