I’ve heard there are more CNN architectures like RCNN Fast RCNN , Faster RCNN , Mask RCNN.
What are these architectures.?
can you share some good resources to learn about these.?
More CNN architecures
Hey Mohit,
These are some State of the Art CNN Architectures which are used for Object Detection, i.e., detecting multiple objects in a single image in bounding boxes.
There are some really good medium blogs which talk about these architectures, here is one which will give you a good theoretical idea about these architectures. This one from Analytics Vidhya talks about RCNNS and its implementation. Andrew Ng’s Deep Learning Specialisation has covered Yolo well, you can audit that part of the course. Other than this, the best way to learn about any algorithm or model in ML is a simply Google search 
there are tons of blogs covering every topic you have heard of.
I hope this helps 
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