You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Let's say we use the network with RPN(region proposal network) for Object detection.
So we get the output as class confidence and bounding box (usually in 1000s in numbers)
next we IOU to filter out the predictions.
It is not as simple as an image classifier.
How do we pick the logit out of so many predictions for gradient calculation?
The text was updated successfully, but these errors were encountered:
How do we extend the logic for Object detection?
Let's say we use the network with RPN(region proposal network) for Object detection.
So we get the output as class confidence and bounding box (usually in 1000s in numbers)
next we IOU to filter out the predictions.
It is not as simple as an image classifier.
How do we pick the logit out of so many predictions for gradient calculation?
The text was updated successfully, but these errors were encountered: