Semi-convolutional Operators for Instance Segmentation — mentioned by nmca

Sat, 11 Aug 2018 11:40:39 GMT

Hm, this seems vaguely interesting-if-true but: 1) It's not published in a good CV journal. 2) It seems quite likely that they've just identified the problems described and fixed by [0, 1] (of which [0] is the much better paper). In brief, CNNs guarantee translation invariance (ignoring boundary effects) through translation equivariance of their feature maps; this borks certain problems, most importantly a commonly used mechanism for instance segmentation as described in [0]. Consider trying to instance-segment two copy/pasted faces; translation equivariance and global pooling clearly make it…

Paper and discussion history. A mention is not an endorsement.

Semi-convolutional Operators for Instance Segmentation · HackerPapers discussions

Semi-convolutional Operators for Instance Segmentation — mentioned by nmca