To add an attention mechanism to the YOLO algorithm, integrate channel or spatial attention modules to enhance feature selection in the detection backbone.
Here is the code snippet you can refer to:

In the above code we are using the following key points:
- Uses Channel Attention Module to enhance important feature maps.
- Uses Spatial Attention Module to focus on key object regions.
- Integrates Attention into YOLO’s Feature Extractor before the detection layer.
- Preserves YOLO’s Architecture while improving feature selection
Hence, adding attention mechanisms to YOLO enhances object detection by dynamically reweighting spatial and channel-wise features, leading to better localization and classification.