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Found 2 papers, 1 papers with code
VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA
We directly train this model on SAR datasets which have limited training samples to evaluate its effectiveness for SAR ATR applications.
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification
Our experimental results on benchmark grayscale image datasets demonstrate the effectiveness of the proposed model, achieving vastly lower latency (up to 16$\times$ less) and competitive or leading performance compared to other state-of-the-art image classification models on various domain-specific grayscale image classification datasets.
Ranked #16 on
Image Classification
on Fashion-MNIST
