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Keyword: dual attention mechanism ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   DaViT: Dual Attention Vision Transformers

   Ding, Bin Xiao, Codella, Luo, Wang and Yuan · Lecture notes in computer science · 2022

   The paper introduces DaViT, a vision transformer that combines spatial and channel self-attention to capture global context efficiently, and reports strong results on four tasks.

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   1. UncheckedTrained without extra data, three DaViT sizes reach 82.8%, 84.2% and 84.6% top-1 accuracy on ImageNet-1K, using 28.3M to 87.9M parameters.“Without extra data, DaViT-Tiny, DaViT-Small, and DaViT-Base achieve 82.8%, 84.2%, and 84.6% top-1 accuracy on ImageNet-1K with 28.3M, 49.7M, and 87.9M parameters, respectively.”
   2. UncheckedScaled up with 1.5 billion weakly supervised image-text pairs, the largest DaViT model reaches 90.4% top-1 accuracy on ImageNet-1K.“When we further scale up DaViT with 1.5B weakly supervised image and text pairs, DaViT-Gaint reaches 90.4% top-1 accuracy on ImageNet-1K.”