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04/25/2022
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network
While efficient architectures and a plethora of augmentations for end-to...
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04/07/2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results
ImageNet serves as the primary dataset for evaluating the quality of com...
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11/25/2021
ML-Decoder: Scalable and Versatile Classification Head
In this paper, we introduce ML-Decoder, a new attention-based classifica...
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10/21/2021
Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Large-scale multi-label classification datasets are commonly, and perhap...
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04/22/2021
ImageNet-21K Pretraining for the Masses
ImageNet-1K serves as the primary dataset for pretraining deep learning ...
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09/29/2020
Asymmetric Loss For Multi-Label Classification
Pictures of everyday life are inherently multi-label in nature. Hence, m...
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03/30/2020
TResNet: High Performance GPU-Dedicated Architecture
Many deep learning models, developed in recent years, reach higher Image...
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06/19/2019
XNAS: Neural Architecture Search with Expert Advice
This paper introduces a novel optimization method for differential neura...
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04/08/2019
