Re:The Pastry A.I. That Learned to Fight Cancer
by phenkdo on Sunday March 28, 2021 @04:05PM
(#26613904)
Before deep learning (ca 2013), the SOTA was using descriptors: KAZE, SIFT, SURF, ORB etc use keypoints & descriptors based matching.[1] . Other approaches relied on shape (edge), color matching using color and shape histograms comparisons e.g. HOG [2].
Plenty of approaches existed prior to deep learning, it's just that DL just blew those out of the water with its performance.
p.s. BTW I would bucket these approaches as ML too. ML >> DL
Plenty of approaches existed prior to deep learning, it's just that DL just blew those out of the water with its performance.
p.s. BTW I would bucket these approaches as ML too. ML >> DL
[1] https://docs.opencv.org/master/db/d27/tutorial_py_table_of_c...
[2] https://docs.opencv.org/master/d5/d33/structcv_1_1HOGDescrip...