Visual Learning and Recognition: Difference between revisions

Visual Learning and Recognition (view source)

488 bytes added , 8 October 2020

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 ===Start of Lecture (Oct 6)===
+;Non-max Supression
+The NMS heuristic here is used to reduce the number of bounding boxes per object to 1.
+Initially, you have a set of overlapping bounding boxes <math>B</math>.
+Create a final set <math>D</math>.
+* While B is not empty
+** Remove the highest confidence box <math>b_i</math> from <math>B</math>. Add it to <math>D</math>
+** For every other box <math>b_j</math>,
+*** If <math>IOU(b_i, b_j) > \lambda</math> (i.e. they bound the same object), discard <math>b_j</math>
 ;Hard mining
 During training, classify on all images.