204 citations · 402 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography
Tae Joon Jun, Jihoon Kweon, Young-Hak Kim +1
In this paper, we proposed T-Net containing a small encoder-decoder inside the encoder-decoder structure (EDiED). T-Net overcomes the limitation that U-Net can only have a single s…