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Found 3 papers, 1 papers with code
Masked autoencoders are effective solution to transformer data-hungry
This results in ViT not performing as well as CNNs on small datasets like medicine and science.
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
To solve it, we proposed PointCMC, a novel cross-modal method to model multi-scale correspondences across modalities for self-supervised point cloud representation learning.
Improvements to Self-Supervised Representation Learning for Masked Image Modeling
The MIM paradigm enables the model to learn the main object features of the image by masking the input image and predicting the masked part by the unmasked part.
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