YoungJoon Yoo | DeepAI

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88 publications
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57 publications
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44 publications
Seong Joon Oh
39 publications
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34 publications
Taesup Moon
31 publications
Jonghyun Choi
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Hyung Jin Chang
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Dongyoon Han
25 publications

∙ 05/15/2023

GeNAS: Neural Architecture Search with Better Generalization

Neural Architecture Search (NAS) aims to automatically excavate the opti...

0 Joonhyun Jeong, et al. ∙

∙ 04/04/2022

Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection

This paper analyses the design choices of face detection architecture th...

0 Joonhyun Jeong, et al. ∙

∙ 02/06/2022

Learning Features with Parameter-Free Layers

Trainable layers such as convolutional building blocks are the standard ...

0 Dongyoon Han, et al. ∙

∙ 10/08/2021

Observations on K-image Expansion of Image-Mixing Augmentation for Classification

Image-mixing augmentations (e.g., Mixup or CutMix), which typically mix ...

0 Joonhyun Jeong, et al. ∙

∙ 09/20/2021

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement

Recent weakly-supervised semantic segmentation (WSSS) has made remarkabl...

0 Beomyoung Kim, et al. ∙

∙ 06/22/2021

Self-Supervised Iterative Contextual Smoothing for Efficient Adversarial Defense against Gray- and Black-Box Attack

We propose a novel and effective input transformation based adversarial ...

0 Sungmin Cha, et al. ∙

∙ 06/22/2021

SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning

We consider a class-incremental semantic segmentation (CISS) problem. Wh...

0 Sungmin Cha. Beomyoung Kim, et al. ∙

∙ 03/31/2021

Rainbow Memory: Continual Learning with a Memory of Diverse Samples

Continual learning is a realistic learning scenario for AI models. Preva...

27 Jihwan Bang, et al. ∙

∙ 01/01/2021

More than just an auxiliary loss: Anti-spoofing Backbone Training via Adversarial Pseudo-depth Generation

In this paper, a new method of training pipeline is discussed to achieve...

1 Chang Keun Paik, et al. ∙

∙ 07/02/2020

ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network

This paper addresses representational bottleneck in a network and propos...

0 Dongyoon Han, et al. ∙

∙ 06/19/2020

Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization

The cost of labeling transcriptions for large speech corpora becomes a b...

0 Jihwan Bang, et al. ∙

∙ 06/17/2020

StatAssist GradBoost: A Study on Optimal INT8 Quantization-aware Training from Scratch

This paper studies the scratch training of quantization-aware training (...

0 Taehoon Kim, et al. ∙

∙ 03/09/2020

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods

Despite apparent human-level performances of deep neural networks (DNN),...

13 Sanghyuk Chun, et al. ∙

∙ 11/20/2019

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder

Designing a lightweight and robust portrait segmentation algorithm is an...

21 Hyojin Park, et al. ∙

∙ 10/15/2019

Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling

We propose a generic confidence-based approximation that can be plugged ...

16 YoungJoon Yoo, et al. ∙

∙ 08/12/2019

Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold

This paper proposes a new high dimensional regression method by merging ...

8 YoungJoon Yoo, et al. ∙

∙ 08/08/2019

ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules

Designing a lightweight and robust portrait segmentation algorithm is an...

8 Hyojin Park, et al. ∙

∙ 06/15/2019

EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse

In this paper, we propose a new multi-scale face detector having an extr...

0 YoungJoon Yoo, et al. ∙

∙ 05/13/2019

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Regional dropout strategies have been proposed to enhance the performanc...

0 Sangdoo Yun, et al. ∙

∙ 12/12/2018

Concentrated-Comprehensive Convolutions for lightweight semantic segmentation

The semantic segmentation requires a lot of computational cost. The dila...

8 Hyojin Park, et al. ∙

∙ 05/03/2018

MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis

In this paper, we introduce a new method for generating an object image ...

0 Hyojin Park, et al. ∙

∙ 11/27/2017

Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation

This paper proposes a new algorithm for controlling classification resul...

0 YoungJoon Yoo, et al. ∙

∙ 11/27/2017

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

In this work, we introduce a new algorithm for analyzing a diagram, whic...

0 Daesik Kim, et al. ∙

∙ 09/05/2017

Knowledge Sharing for Reinforcement Learning: Writing a BOOK

This paper proposes a novel deep reinforcement learning (RL) method inte...

0 Simyung Chang, et al. ∙

∙ 06/30/2017

Superpixel-based Semantic Segmentation Trained by Statistical Process Control

Semantic segmentation, like other fields of computer vision, has seen a ...

0 Hyojin Park, et al. ∙

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