Paper Note: Swin Transformer
A new ViT whose representation is computed with Shifted windows*!*** ...
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Paper Note: Masked autoencoders(MAE) (very short)
Masked autoencoders (MAE) are scalable self-supervised learners for computer vision. ...
Paper Note: ViT
ViT applies a standard Transformer directly to images ...
Paper Note: Attention is All You Need
The Transformer, the first sequence transduction model based entirely on attention, replacing the recurrent layers most commonly used in encoder-decoder architectures with multi-headed self-attention. ...
Paper Note: BERT
BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers. As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of tasks. ...