GitHub

D2-Net: A Trainable CNN for Joint Detection and Description of Local Features

"D2-Net: A Trainable CNN for Joint Detection and Description of Local Features". M. Dusmanu, I. Rocco, T. Pajdla, M. Pollefeys, J. Sivic, A. Torii, and T. Sattler ...
IEEE

M-net: A Convolutional Neural Network for deep brain structure segmentation

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 ...
GitHub

Mutual Consistency Learning for Semi-supervised Medical Image Segmentation

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 ...
IEEE

ISTDU-Net: Infrared Small-Target Detection U-Net

Abstract: The infrared small-target lacks effective information such as shape and texture, so it is difficult to detect small-target effectively. In order to solve this problem, a new deep learning ...