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  • complete_step
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  • resnet-transformer
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Created with Raphaël 2.2.019Aug14Jul131211109872130Jun27262321121173131May272523222120191817151312111054330Apr292827232217121164330Mar171514138764228Feb26252220191817161514109753230Jan2928272143231Dec2827262519181615141312109630Nov2926151110754231Oct30292827262524232216151413111028Sep20compute mAPmastermasterfix bugcomplete_stepcomplete_stepfix bugadd mAP8 step lossesdelete useless codefix bugadd softplus to step lossupdate def get_samples(self, num, based_on_weight=True):add no gradupdate subset extensionupdate loss weightsupdate evaluation moduleupdate samplingupdate weightepoch=3updata seedfix bugadd mAPupdata samplingsave best modelupdata recommender system, replace resnet101 by resnet50larger classifier and pc classifierincrease the max_batch_sizeupdata sampling (repeat)sampling_repeat_positiveupdata samplingupdata samplingupdata decoder, add testing dataset, fix loss bugfix bugadd more decoder loss functionfix save model bugupdata cross entropyupdata cross entropy lossupdata learning rate for decoderupdata decoderupdata triplet loss,add seedupdata recommender systemupdata recommender system