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Explaining How Deep Neural Networks Forget by Deep Visualization
Explaining the behaviors of deep neural networks, usually considered as ...
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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...
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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...
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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...
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Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Interpreting the behaviors of Deep Neural Networks (usually considered a...
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ContCap: A comprehensive framework for continual image captioning
While cutting-edge image captioning systems are increasingly describing ...
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DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation
Nowadays, Deep learning techniques show dramatic performance on computer...
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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...
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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...
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Tournament Based Ranking CNN for the Cataract grading
Solving the classification problem, unbalanced number of dataset among t...
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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...
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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...
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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...
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ECG arrhythmia classification using a 2-D convolutional neural network
In this paper, we propose an effective electrocardiogram (ECG) arrhythmi...
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