Submitted by somebodyenjoy t3_zc24rg in MachineLearning
SeucheAchat9115 t1_iyv631b wrote
Reply to comment by somebodyenjoy in [D] Best object detection architecture out there in terms of accuracy alone by somebodyenjoy
Deep Learning Classifiers based on Convolutions also go around the whole image. And the sliding window approaches are not competitive anymore in terms of accuracy as well
somebodyenjoy OP t1_iyv79r7 wrote
I understand, I was asking if we use something like an alexnet and train it on a specific object, like a dog or not detector. Then make this detector go around the entire image in a brute-force manner, would that be more accurate than the object detector models right now
SeucheAchat9115 t1_iyv7fcl wrote
No, because the object detector can solve the problem in a single forward path. Todays deep learning based object detectors like Yolo or RCNN + Swin are very good choices for a detection task
somebodyenjoy OP t1_iyv8ila wrote
You mean to say they can do better in terms of accuracy even tho they detect in a single forward path?
SeucheAchat9115 t1_iyv8t0s wrote
Yes, because Deep Learning is way better than conventional Methods.
Flag_Red t1_iyvot70 wrote
He doesn't know.
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