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

CVPR 2020 · Detection and segmentation › CNN features · approach: Efficient network training and design · 8,780 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add ECA channel attentionResNet-50 · ImageNet-1KTop-1 accuracy: 75.20 -> 77.48Helped
Add ECA channel attentionResNet-101 · ImageNet-1KTop-1 accuracy: 76.83 -> 78.65Helped
Add ECA channel attentionResNet-152 · ImageNet-1KTop-1 accuracy: 77.58 -> 78.92Helped
Add ECA channel attentionMobileNetV2 · ImageNet-1KTop-1 accuracy: 71.64 -> 72.56Helped
Add ECA channel attentionFaster R-CNN with ResNet-50 · COCO val2017AP: 36.4 -> 38.0Helped
Add ECA channel attentionFaster R-CNN with ResNet-101 · COCO val2017AP: 38.7 -> 40.3Helped
Add ECA channel attentionMask R-CNN with ResNet-50 · COCO val2017AP: 37.2 -> 39.0Helped
Add ECA channel attentionMask R-CNN with ResNet-101 · COCO val2017AP: 39.4 -> 41.3Helped
Add ECA channel attentionRetinaNet with ResNet-50 · COCO val2017AP: 35.6 -> 37.3Helped
Add ECA channel attentionRetinaNet with ResNet-101 · COCO val2017AP: 37.7 -> 39.1Helped
Add ECA channel attentionResNet-50 · ImageNet-1KTop-1 accuracy: 76.71 -> 77.43Helped
Avoid dimensionality reduction in channel attention (ablation)SE-style channel attention on ResNet-50 · ImageNetTop-1 accuracy: 76.71 -> 77.42Helped

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