13 citations · 27 across the 4 of their papers we have counts for
9 papers · 1 filter
Applying Tensor Decomposition to image for Robustness against Adversarial Attack
Seungju Cho, Tae Joon Jun, Mingu Kang +1
Nowadays the deep learning technology is growing faster and shows dramatic performance in computer vision areas. However, it turns out a deep learning based model is highly vulnera…
ContCap: A scalable framework for continual image captioning
Giang Nguyen, Tae Joon Jun, Trung Tran +2
While advanced image captioning systems are increasingly describing images coherently and exactly, recent progress in continual learning allows deep learning models to avoid catast…
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
Seungju Cho, Tae Joon Jun, Byungsoo Oh +1
Nowadays, Deep learning techniques show dramatic performance on computer vision area, and they even outperform human. But it is also vulnerable to some small perturbation called an…
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes
Tae Joon Jun, Youngsub Eom, Dohyeun Kim +4
In this paper, we proposed Transferable Ranking Convolutional Neural Network (TRk-CNN) that can be effectively applied when the classes of images to be classified show a high corre…
Tournament Based Ranking CNN for the Cataract grading
Dohyeun Kim, Tae Joon Jun, Daeyoung Kim +1
Solving the classification problem, unbalanced number of dataset among the classes often causes performance degradation. Especially when some classes dominate the other classes wit…
2sRanking-CNN: A 2-stage ranking-CNN for diagnosis of glaucoma from fundus images using CAM-extracted ROI as an intermediate input
Tae Joon Jun, Dohyeun Kim, Hoang Minh Nguyen +2
Glaucoma is a disease in which the optic nerve is chronically damaged by the elevation of the intra-ocular pressure, resulting in visual field defect. Therefore, it is important to…