ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

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Benchmark Model Rank Results
object-detection-on-pku-ddd17-carECANet#6mAP50: 82.2
object-detection-on-dsecECANet#8mAP: 25.7
image-classification-on-imagenetECA-Net (ResNet-152)#837Top 1 Accuracy: 78.92%Number of params: 57.40MGFLOPs: 10.83
image-classification-on-imagenetECA-Net (ResNet-101)#854Top 1 Accuracy: 78.65%Number of params: 42.49MGFLOPs: 7.35
image-classification-on-imagenetECA-Net (ResNet-50)#915Top 1 Accuracy: 77.48%Number of params: 24.37MGFLOPs: 3.86
image-classification-on-imagenetECA-Net (MobileNetV2)#1045Top 1 Accuracy: 72.56%Number of params: 3.34MGFLOPs: 0.320

Rank counts only results with a code link.