☆ 4.6 Article

Electric Power Audit Text Classification With Multi-Grained Pre-Trained Language Model

IEEE ACCESS (2023)

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Proceedings Paper Computer Science, Artificial Intelligence

Masked Autoencoders Are Scalable Vision Learners

Kaiming He et al.

Summary: This paper presents a self-supervised learning method for computer vision based on masked autoencoders. By masking a portion of the input image and reconstructing the missing pixels, large models can be trained efficiently and effectively. The approach achieves high generalization performance and outperforms supervised pretraining in transfer learning tasks.

2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022) (2022)

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Article Computer Science, Artificial Intelligence