Quality Control Automation: Your Manufacturing Game-Changer
Jun 5, 2025 in Industry Overview
Master quality control automation with proven strategies that drive real results. Discover practical insights from industry leaders.
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Paulo Maia on Aug 2, 2023
Spatial Explanations with Occlusions: In computer vision, businesses must grasp the workings of image models to fully leverage visual data. Our simple method called spatial explanations with occlusions, helps achieve a deeper understanding. By employing spatial occlusions across images, this technique unveils critical areas that significantly influence the model’s predictions.”
What to do with these insights, you may ask. Having a deeper understanding of your system is the first step to optimizing your business. You can use these insights for 2 purposes:
Spatial explanations rely on the concept of occlusion, where specific areas of an image are masked or occluded to observe their impact on the model’s predictions. To do so, a patch of the original image is replaced with the average values from the dataset in the corresponding location. The original image and the image with the occlusion are analyzed by the predictive model and the difference between those predictions is used as a proxy of the region’s importance. The higher the difference, the greater the impact of the region. By repeating this process with patches from different locations and of different sizes, it is possible to build a heatmap, where the temperature represents the impact on the predictions.
Replacing the occlusion with average values from the dataset is particularly effective in industrial settings, where cameras and most objects remain fixed. In scenarios where the average patch occlusion is not suitable, you can employ alternative methods. Here are some other options:
This adaptability allows the spatial occlusions explanation method to be tailored to the specific needs of your business.
Well done! Now you know the rationale behind our method! What about a few more tips to get the best from your explainable heat maps?
Book a meeting with Rafael Cavalheiro
Meet Rafael Learn MoreSpatial explanations offer a powerful approach to interpreting image models and extracting valuable insights from visual data. By employing spatial occlusions, businesses can unravel the inner workings of their models, enabling informed decision-making and enhanced trust. Embrace the power of spatial explanations to unlock the full potential of your image models. Contact us if you’re ready to embark on a journey of comprehensive understanding and actionable insights.
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