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11/23/2022
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
Binary neural networks are the extreme case of network quantization, whi...
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07/14/2021
Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data
One of the most pressing problems in the automated analysis of historica...
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06/13/2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
Recent works on Binary Neural Networks (BNNs) have made promising progre...
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10/21/2020
One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN
Generative Adversarial Networks (GANs) have achieved state-of-the-art pe...
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01/16/2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Binary Neural Networks (BNNs) are neural networks which use binary weigh...
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11/19/2019
KISS: Keeping It Simple for Scene Text Recognition
Over the past few years, several new methods for scene text recognition ...
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06/19/2019
Back to Simplicity: How to Train Accurate BNNs from Scratch?
Binary Neural Networks (BNNs) show promising progress in reducing comput...
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12/05/2018
Training Competitive Binary Neural Networks from Scratch
Convolutional neural networks have achieved astonishing results in diffe...
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11/14/2018
LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks
Recently, deep neural networks have achieved remarkable performance on t...
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09/27/2018