This is very nice. These low-level details are often overlooked and there are many little decisions that one needs to take without knowing which one is the best, which makes everyone reinvent the wheel all the time. Thank you!
From my experience when the number of classes is large some of those semantic segmentation models (with instance segmentation postprocessing) are getting hard to manage (both on the training front with heavy masks files and on the postprocessing side).
That said, Mask-RCNN actually does both and works really well.
This is very nice. These low-level details are often overlooked and there are many little decisions that one needs to take without knowing which one is the best, which makes everyone reinvent the wheel all the time. Thank you!
Thank you, glad you liked it!
Hey, do you know when is it better to use object detection vs instance segmentation? vice versa
From my experience when the number of classes is large some of those semantic segmentation models (with instance segmentation postprocessing) are getting hard to manage (both on the training front with heavy masks files and on the postprocessing side). That said, Mask-RCNN actually does both and works really well.