KidML
The Journal
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Nicolas Audebert,[ONERA, The French Aerospace Lab] Abstract Investigate various methods to deal with semantic labeling of very high resolution multi-modal RS data – especially for semantic labeling Contributions: 1. Multiscale…
Deep Image Prior
by Dmitry Ulyanov,Andrea Vedaldi,Victor Lempitsky – CVPR 2018 Abstract Deep CNN – able to learn image priors from a large number of example images Contribution: Structure of a generator network…
Label Super Resolution
Kolya Malkin, Caleb Robinson, Le Hou, Rachel Soobitsky, Jacob Czawlytko, Dimitris Samaras, Joel Saltz, Lucas Joppa, Nebojsa Jojic [Microsoft Research, Yale University, Georgia Institute of Technology, Stony Brook University, Chesapeake…
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele [NUS, MaxPlank] [CVPR2019] Abstract Meta-learning – to address the challenges of the few shot learning settings Key idea – force a large…
A multi-task U-net for segmentation with lazy labels
by Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola-Bibiane Schönlieb [University of Cambridge] Abstract Paper proposes a DCNN for multiclass segmentation trainable on coarse data labels combined with a…
Pedestrian Detection in Thermal Images using Saliency Maps
Abstract Thermal images are good at predicting objects/people at night, but poor performance in daylight SoA networks use fusion networks with paired thermal and RGB images. Contribution: augment thermal images…