Method for categorizing a scene comprising a sub-scene with machine learning

A method of training a machine learning model to perform sub-scene-aware categorization, the method comprising:

• obtaining a training corpus of images or image sequences that include scenes containing display devices;
• for each training sample, labeling a subset of data points that correspond to a sub-scene presented on a display device;
• training, using the labeled data, a model configured to down-weight or ignore features originating from the labeled subset during inference, while classifying at least one of scene, subject, pose, or action;
• and
• optimizing the model parameters using an optimization method selected from Adam or RMSProp.

A vehicle control system comprising an image capturing device and a computing device, the computing device configured to:

• receive data points corresponding to a scene from the image capturing device;
• detect at least one subset of the data points indicative of a sub-scene presented by a display device;
• categorize the scene while disregarding the sub-scene;
• and
• based on the categorization, adjust at least one physical parameter of the vehicle selected from speed, direction, pose, position, or orientation.