Measuring the Impact of Scene Level Objects on Object Detection: Towards Quantitative Explanations of Detection Decisions

Understand

Although accuracy and other common metrics can provide a useful window into the performance of an object detection model, they lack a deeper view of the model's decision process.

• Regardless of the quality of the training data and process, the features that an object detection model learns cannot be guaranteed.
• A model may learn a relationship between certain background context, i.e., scene level objects, and the presence of the labeled classes.
• Furthermore, standard performance verification and metrics would not identify this phenomenon.