Propose an implementation strategy for efficient local contrast normalization in your object detection model, given the need to balance accuracy and computational resources.

Use separable convolution to compute feature maps of local means and standard deviations. Then apply element-wise subtraction and division to normalize the image. This approach reduces computation while maintaining robustness to varying lighting conditions.