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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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04/19/2022
Diverse Imagenet Models Transfer Better
A commonly accepted hypothesis is that models with higher accuracy on Im...
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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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09/26/2021
PETA: Photo Albums Event Recognition using Transformers Attention
In recent years the amounts of personal photos captured increased signif...
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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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03/25/2021
An Image is Worth 16x16 Words, What is a Video Worth?
Leading methods in the domain of action recognition try to distill infor...
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02/23/2021
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Realistic use of neural networks often requires adhering to multiple con...
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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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02/19/2020
Knapsack Pruning with Inner Distillation
Neural network pruning reduces the computational cost of an over-paramet...
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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