activity
20172022
most citedAn Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

7 citations · 19 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20227 cited

Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders

Youngwan Lee, Jeffrey Willette, Jonghee Kim +2

Masked image modeling (MIM) has become a popular strategy for self-supervised learning~(SSL) of visual representations with Vision Transformers. A representative MIM model, the mas…

cs.CV2020

Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification

Youngwan Lee, Hyung-Il Kim, Kimin Yun +1

Video classification researches that have recently attracted attention are the fields of temporal modeling and 3D efficient architecture. However, the temporal modeling methods are…

cs.LG2020

Adversarial Training with Stochastic Weight Average

Joong-Won Hwang, Youngwan Lee, Sungchan Oh +1

Adversarial training deep neural networks often experience serious overfitting problem. Recently, it is explained that the overfitting happens because the sample complexity of trai…

cs.CV2019

CenterMask : Real-Time Anchor-Free Instance Segmentation

Youngwan Lee, Jongyoul Park

We propose a simple yet efficient anchor-free instance segmentation, called CenterMask, that adds a novel spatial attention-guided mask (SAG-Mask) branch to anchor-free one stage o…

cs.CV20197 cited

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

Youngwan Lee, Joong-won Hwang, Sangrok Lee +2

As DenseNet conserves intermediate features with diverse receptive fields by aggregating them with dense connection, it shows good performance on the object detection task. Althoug…

cs.CV20175 cited

Rank of Experts: Detection Network Ensemble

Seung-Hwan Bae, Youngwan Lee, Youngjoo Jo +2

The recent advances of convolutional detectors show impressive performance improvement for large scale object detection. However, in general, the detection performance usually decr…