Abstract: This paper presents methods based on convolutional neural networks (CNNs) for removing compression artifacts. We modify the Inception module for the image restoration problem and use it as a ...
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This AI company wants to replace MRIs with a 60-second dip in the spa. Can that really work?
The artificial-intelligence startup Midjourney made a name for itself by generating surreal internet art. Now, it’s setting its sights on the physical world with a new full-body scanner that aims to ...
DBB is a powerful ConvNet building block to replace regular conv. It improves the performance without any extra inference-time costs. This repo contains the code for building DBB and converting it ...
Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...
The original paper proposes a lightweight 1-D CNN model named Mini InceptionNet and a hardware accelerator architecture named MINA for ECG beat classification in wearable devices. This project ...
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