bottom-up-features
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evaluation results
Can this converted model reproduce exactly the same MAP score as that calculated in the original caffe framework?
I tested the code on a random subset of MSCOCO images and checked that the extracted features are the same as features extracted by original code, but I didn't check the detection performance on any dataset. Although theoretically it should be the same, there might be minor difference due to different implementations.