Question

I want to implement a simple attention mechanism to ensemble the results of a CNN model.

Answer 1

To ensemble the results of a CNN model using a simple attention mechanism, use weighted feature aggregation where attention scores determine the importance of each feature map.

Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Uses a CNN feature extractor to learn spatial patterns.
• Implements Global Average Pooling (GAP) to extract feature representations.
• Applies a Dense attention mechanism to generate importance scores.
• Uses element-wise multiplication (Multiply layer) to weight CNN features based on attention scores.
• Classifies using a final softmax layer for multi-class classification.

Hence, applying a simple attention mechanism on CNN-extracted features helps in adaptively emphasizing important feature maps, leading to improved classification performance.