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Explaining How Deep Neural Networks Forget by Deep Visualization
Explaining the behaviors of deep neural networks, usually considered as ...
05/03/2020 ∙ by Giang Nguyen, et al. ∙
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Smart Inference for Multidigit Convolutional Neural Network based Barcode Decoding
Barcodes are ubiquitous and have been used in most of critical daily act...
04/14/2020 ∙ by Thao Do, et al. ∙
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Applying Tensor Decomposition to image for Robustness against Adversarial Attack
Nowadays the deep learning technology is growing faster and shows dramat...
02/28/2020 ∙ by Seungju Cho, et al. ∙
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Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
We propose Unbalanced GANs, which pre-trains the generator of the genera...
02/06/2020 ∙ by Hyungrok Ham, et al. ∙
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Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Interpreting the behaviors of Deep Neural Networks (usually considered a...
01/06/2020 ∙ by Giang Nguyen, et al. ∙
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ContCap: A comprehensive framework for continual image captioning
While cutting-edge image captioning systems are increasingly describing ...
09/19/2019 ∙ by Giang Nguyen, et al. ∙
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DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
Nowadays, Deep learning techniques show dramatic performance on computer...
08/14/2019 ∙ by Seung Ju Cho, et al. ∙
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TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
In this paper, we proposed Transferable Ranking Convolutional Neural Net...
05/16/2019 ∙ by Tae Joon Jun, et al. ∙
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T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography
In this paper, we proposed T-Net containing a small encoder-decoder insi...
05/10/2019 ∙ by Tae Joon Jun, et al. ∙
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Tournament Based Ranking CNN for the Cataract grading
Solving the classification problem, unbalanced number of dataset among t...
07/07/2018 ∙ by Dohyeun Kim, et al. ∙
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2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input
Glaucoma is a disease in which the optic nerve is chronically damaged by...
05/15/2018 ∙ by Tae Joon Jun, et al. ∙
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Automated diagnosis of pneumothorax using an ensemble of convolutional neural networks with multi-sized chest radiography images
Pneumothorax is a relatively common disease, but in some cases, it may b...
04/18/2018 ∙ by Tae Joon Jun, et al. ∙
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Automated detection of vulnerable plaque in intravascular ultrasound images
Acute Coronary Syndrome (ACS) is a syndrome caused by a decrease in bloo...
04/18/2018 ∙ by Tae Joon Jun, et al. ∙
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ECG arrhythmia classification using a 2-D convolutional neural network
In this paper, we propose an effective electrocardiogram (ECG) arrhythmi...
04/18/2018 ∙ by Tae Joon Jun, et al. ∙
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