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Training General Representations for Remote Sensing Using in-Domain Knowledge.

, , , and . IGARSS, page 6730-6733. IEEE, (2020)

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Semi-Supervised Cross-Media Feature Learning With Unified Patch Graph Regularization., , , and . IEEE Trans. Circuits Syst. Video Techn., 26 (3): 583-596 (2016)Big Transfer (BiT): General Visual Representation Learning., , , , , , and . ECCV (5), volume 12350 of Lecture Notes in Computer Science, page 491-507. Springer, (2020)Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , and 32 other author(s). CoRR, (2023)CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?, , , , , and . CoRR, (2024)How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers., , , , , and . CoRR, (2021)Knowledge distillation: A good teacher is patient and consistent., , , , , and . CoRR, (2021)SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size., , , , , , , , and . CoRR, (2021)Better plain ViT baselines for ImageNet-1k., , and . CoRR, (2022)Training General Representations for Remote Sensing Using in-Domain Knowledge., , , and . IGARSS, page 6730-6733. IEEE, (2020)Revisiting the Calibration of Modern Neural Networks., , , , , , , and . NeurIPS, page 15682-15694. (2021)