11 citations · 17 across the 4 of their papers we have counts for
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cs.CV2023★ 1 cited
Swin-Free: Achieving Better Cross-Window Attention and Efficiency with Size-varying Window
Jinkyu Koo, John Yang, Le An +2
Transformer models have shown great potential in computer vision, following their success in language tasks. Swin Transformer is one of them that outperforms convolution-based arch…
cs.CV2022★ 11 cited
Depth Estimation with Simplified Transformer
John Yang, Le An, Anurag Dixit +2
Transformer and its variants have shown state-of-the-art results in many vision tasks recently, ranging from image classification to dense prediction. Despite of their success, lim…