Deep_Openset_Recognition_through_Uncertainty
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PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625
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When I try to use several GPUs to train the whole model, the output_sample's shape turn to [GPU's nums, batch_size/GPU's nums, class_num] I wonder why the model's output has changed?