Attention Augmented Convolutional Networks

Benchmark Model Rank Results
image-classification-on-cifar-100AA-Wide-ResNet#110Percentage correct: 81.6
image-classification-on-imagenetAA-ResNet-152#732Top 1 Accuracy: 79.1%
object-detection-on-cocoAA-ResNet-10 + RetinaNet#202box mAP: 39.2Operations per network pass: 24.5G