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Rethinking Spatial Dimensions of Vision Transformers
Vision Transformer (ViT) extends the application range of transformers f...
03/30/2021 ∙ by Byeongho Heo, et al. ∙
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Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
ImageNet has been arguably the most popular image classification benchma...
01/13/2021 ∙ by Sangdoo Yun, et al. ∙
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VideoMix: Rethinking Data Augmentation for Video Classification
State-of-the-art video action classifiers often suffer from overfitting....
12/07/2020 ∙ by Sangdoo Yun, et al. ∙
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ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network
This paper addresses representational bottleneck in a network and propos...
07/02/2020 ∙ by Dongyoon Han, et al. ∙
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Slowing Down the Weight Norm Increase in Momentum-based Optimizers
Normalization techniques, such as batch normalization (BN), have led to ...
06/15/2020 ∙ by Byeongho Heo, et al. ∙
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An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Despite apparent human-level performances of deep neural networks (DNN),...
03/09/2020 ∙ by Sanghyuk Chun, et al. ∙
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EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
In this paper, we propose a new multi-scale face detector having an extr...
06/15/2019 ∙ by YoungJoon Yoo, et al. ∙
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CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Regional dropout strategies have been proposed to enhance the performanc...
05/13/2019 ∙ by Sangdoo Yun, et al. ∙
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Character Region Awareness for Text Detection
Scene text detection methods based on neural networks have emerged recen...
04/03/2019 ∙ by Youngmin Baek, et al. ∙
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What is wrong with scene text recognition model comparisons? dataset and model analysis
Many new proposals for scene text recognition (STR) models have been int...
04/03/2019 ∙ by Jeonghun Baek, et al. ∙
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Concentrated-Comprehensive Convolutions for lightweight semantic segmentation
The semantic segmentation requires a lot of computational cost. The dila...
12/12/2018 ∙ by Hyojin Park, et al. ∙
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Deep Pyramidal Residual Networks
Deep convolutional neural networks (DCNNs) have shown remarkable perform...
10/10/2016 ∙ by Dongyoon Han, et al. ∙
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