This source code only have ability to trace and classify only one object in image.
according to arXiv:1412.7755 .
If a image has multi-label, for example, more than one mnist digits were place on the image.
after read a paper arxiv:1402.7755v2,
I thought the paper written: the multi-target learning is just a sequential learning of one-target learning for many times which is equal to the objects number in one image.
and sum the loss up to back-prop.
When I modify the code to do it, I failed! The RAM model seemed only want to find the first objects it discovered and don't care the rest of the objects.
This source code only have ability to trace and classify only one object in image.
according to arXiv:1412.7755 .
If a image has multi-label, for example, more than one mnist digits were place on the image.
after read a paper arxiv:1402.7755v2,
I thought the paper written: the multi-target learning is just a sequential learning of one-target learning for many times which is equal to the objects number in one image.
and sum the loss up to back-prop.
When I modify the code to do it, I failed! The RAM model seemed only want to find the first objects it discovered and don't care the rest of the objects.