wildcat.pytorch
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Real Work Or Not?
Anyone uses this code to reproduce the performance reported in the paper? From my understanding, max+min pooling really doesn't make any sense in deep learning. Any rationality mentioned by author in this paper all redirect to their several own previous work. Why does it work? From my experiments using this code, I cannot produce any reported performance number in VOC2007. I can get highest MAP-92.3 via different parameter trials. If anyone get the correct reported number (say VOC2007, MAP 95.0) in experiment, please kindly let me know the magic tricks. Thanks.