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Found 2 papers, 1 papers with code
Fair Comparison between Efficient Attentions
Transformers have been successfully used in various fields and are becoming the standard tools in computer vision.
Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints
The proposed method achieved $71. 4\%$ with a few parameters (of $3. 1M$) on the ImageNet-1k dataset compared to that required by the original transformer model of XCiT-N12 ($69. 9\%$).
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