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Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.

, , , , , , , and . ECCV (9), volume 12354 of Lecture Notes in Computer Science, page 695-714. Springer, (2020)

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Learning Data Augmentation Strategies for Object Detection., , , , , and . ECCV (27), volume 12372 of Lecture Notes in Computer Science, page 566-583. Springer, (2020)RandAugment: Practical data augmentation with no separate search., , , and . CoRR, (2019)AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , and . CoRR, (2019)Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation., , , , , , , and . CoRR, (2020)AutoAugment: Learning Augmentation Strategies From Data., , , , and . CVPR, page 113-123. Computer Vision Foundation / IEEE, (2019)Affinity and Diversity: Quantifying Mechanisms of Data Augmentation., , , and . CoRR, (2020)Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation., , , , , , , and . CoRR, (2020)Using learned optimizers to make models robust to input noise., , , , and . CoRR, (2019)SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition., , , , , , and . INTERSPEECH, page 2613-2617. ISCA, (2019)G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR., , , , , , , , and . SLT, page 23-30. IEEE, (2022)