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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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