Visual Context Augmentation

• @dvornikModelingVisualContext2018
• learns to place object instances at an image location depending on the surrounding context.
• A neural network is trained for this purpose.
• The training data is pre- pared to generate a context image with the masked- out object inside it.
• From an image, 200 context sub-images are generated surrounding the blacked- out bounding box. The neural network learns to predict the category (object or background) in masked pixels.
• The object instances are placed inside the selected boxes to generate a new train- ing image