caffe model output about cvpr15deepcompare HOT 4 OPEN

I did not convert descriptor models assuming that its easy to edit prototxt file and get it

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hey! thanks for your answer but I'm not sure if I understood it. Does it mean that you haven't test it? After running Torch models the resultant descriptors have size 512. Last question about the benchmark, did you proper normalize patches regions before fetching the networks using VL_COVDET() with 'Patch' flag? URL Thanks in advance!

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@edgarriba caffe networks are tested against torch on conversion. Regarding VL_COVDET I don't remember, have to dig in the code. will answer later.

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nice! I'm struggling a bit to get proper results with your network. In the following plot I've tried some feature extractors and injected the results to vlfeat benchmark in the grafitti dataset.

In this case MSER siam and siam2stream results come from the *.bin files you provide along with the raw patches obtained with MSER+VL_COVDET.
MSER Alexnet is a caffe model in caffe repo.
MSER iri is the model from this paper http://cvlabwww.epfl.ch/~trulls/pdf/iccv-2015-deepdesc.pdf

Thanks again!

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