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Keyword: visual words ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Transformer in Transformer

   Han, Xiao, Wu, Guo, Xu and Wang · arXiv (Cornell University) · 2021

   The paper proposes Transformer iN Transformer (TNT), which splits image patches into smaller sub-patches and applies attention at both levels, and reports improved image classification accuracy on several benchmarks.

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   1. UncheckedThe TNT visual transformer reaches 81.5% top-1 accuracy on ImageNet, about 1.7% above the best comparable visual transformer at similar computational cost.“Experiments on several benchmarks demonstrate the effectiveness of the proposed TNT architecture, e.g., we achieve an 81.5% top-1 accuracy on the ImageNet, which is about 1.7% higher than that of the state-of-the-art visual transformer with similar computational cost.”