共 50 条
- [1] Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology Lect. Notes Comput. Sci., 2022, (242-252):
- [2] Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT II, 2022, 13432 : 242 - 252
- [3] Benchmarking the Robustness of UAV Tracking Against Common Corruptions 2024 IEEE 7TH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION PROCESSING AND RETRIEVAL, MIPR 2024, 2024, : 465 - 470
- [5] Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions International Journal of Computer Vision, 2021, 129 : 462 - 483
- [6] Benchmarking Robustness to Text-Guided Corruptions 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW, 2023, : 779 - 786
- [7] A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness COMPUTER VISION - ECCV 2022, PT IV, 2022, 13664 : 654 - 671
- [8] Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR, 2023, : 1022 - 1032
- [9] Benchmarking robustness of deep neural networks in semantic segmentation of fluorescence microscopy images BMC BIOINFORMATICS, 2024, 25 (01):
- [10] NoisyMix: Boosting Model Robustness to Common Corruptions INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 238, 2024, 238