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meaning of no_loss_mask = -1? #8

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InnovArul opened this issue Nov 16, 2017 · 1 comment

InnovArul commented Nov 16, 2017

Can anyone give a clarification on the intuition of using no_loss_mask = -1?
https://github.com/jasjeetIM/Mask-RCNN/blob/master/functions/mask_rcnn/mask_get_minibatch.m#L131

As far as I can tell, cross-entropy loss expects target = [0, 1].

lilydedbb commented Apr 17, 2018

@InnovArul In the prototxt file (https://github.com/jasjeetIM/Mask-RCNN/blob/master/models/mask_rcnn_prototxts/resnet_50layers_conv/train_val.prototxt#L3741), the model ignore the labels which equal -1 when computing the loss.

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