Image Magnification : Making objects in the images look larger than it is in scene based on distance to the camera.
• But, magnification, m is Image size inversely proportional to distance or depth.
Fun of Image Magnification effect 😀
#Convolutions : Learn local relations and dependencies as we go deeper in the network (By expanding Receptive field)
#Transformers : Learn long range dependencies (Attention allows to capture bigger contexts)
• "Their combo is where field should go, not substitution."
Me:
To Answer that, I want to ask a question, what's the role of cab driver who don't to know the address of certain location and using Maps to reach their passengers to their destination;