SAAT, an alternating channel-spatial-window attention Transformer, reports slight PSNR/SSIM gains over SwinIR and HAT, but the evidence is weakened by inconsistent baselines and test-set tuning.
Convolutional neu- ral network super resolution for face recognition in surveillance monitoring
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SAAT: Synergistic Alternating Aggregation Transformer for Image Super-Resolution
SAAT, an alternating channel-spatial-window attention Transformer, reports slight PSNR/SSIM gains over SwinIR and HAT, but the evidence is weakened by inconsistent baselines and test-set tuning.