Abstract: Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. This tends to result in tiny object loss and feature distinguishability ...

Recently, there has been an increasing concern about the privacy issue raised by using personally identifiable information in machine learning. However, previous portrait matting methods were all ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Klaus Vedfelt / Getty Images Net worth ...

Abstract: In this paper, we propose an end-to-end trainable Convolutional Neural Network (CNN) architecture called the M-net, for segmenting deep (human) brain structures from Magnetic Resonance ...

This repository is for our paper: 'Mutual Consistency Learning for Semi-supervised Medical Image Segmentation'. Note that, the MC-Net+ model is named as mcnet3d_v2 in our repository and we also ...