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Found 2 papers, 2 papers with code
Plugin Networks for Inference under Partial Evidence
In this paper, we propose a novel method to incorporate partial evidence in the inference of deep convolutional neural networks.
Ranked #1 on
Semantic Segmentation
on PASCAL VOC 2011 test
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
In this paper, we propose a novel regularization method for Generative Adversarial Networks, which allows the model to learn discriminative yet compact binary representations of image patches (image descriptors).
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