[Retracted] Channel-Wise Correlation Calibrates Attention Module for Convolutional Neural Networks

Figure 1

The layer feature that meets channel attention module (LC module, LCM). LC module consists of a triplet of operators: capture channel local features, capture layer global features, and combine layer feature with channel dependence. The LC module first combines the significant feature with channel local features to calibrate the weight of channels and then adaptively recalibrates channel-wise feature responses through the attention operation.