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

ECA-Net clearly outperforms SENet, and also outperforms fixed kernel version of ECA-Net. ECA-Net is superior to SENet and CBAM while it is very competitive to AA-Net with lower model complexity. Note that AA-Net is trained with Inception data augmentation and different setting of learning rates. ECA-Net performs favorably against state-of-the-art CNNs while benefiting much lower model complexity. Different frameworks are used, ECA-Net can well generalize to object detection task.