UPANets: Learning from the Universal Pixel Attention Networks

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Benchmark Model Rank Results
image-classification-on-cifar-10UPANets#109Percentage correct: 96.47
image-classification-on-cifar-100UPANets#124Percentage correct: 80.29
image-classification-on-tiny-imagenet-1UPANets#16Validation Acc: 67.67
image-classification-on-tiny-imagenet-2UPANets#1Top 1 Accuracy: 67.67

Rank counts only results with a code link.