568 citations · 1.1k across the 8 of their papers we have counts for
5 papers · 1 filter
SIESTA: Efficient Online Continual Learning with Sleep
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes +2
In supervised continual learning, a deep neural network (DNN) is updated with an ever-growing data stream. Unlike the offline setting where data is shuffled, we cannot make any dis…
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?
Ryne Roady, Tyler L. Hayes, Ronald Kemker +2
Supervised classification methods often assume the train and test data distributions are the same and that all classes in the test set are present in the training set. However, dep…
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
Ronald Kemker, Ryan Luu, Christopher Kanan
Recent advances in computer vision using deep learning with RGB imagery (e.g., object recognition and detection) have been made possible thanks to the development of large annotate…
High-Resolution Multispectral Dataset for Semantic Segmentation
Ronald Kemker, Carl Salvaggio, Christopher Kanan
Unmanned aircraft have decreased the cost required to collect remote sensing imagery, which has enabled researchers to collect high-spatial resolution data from multiple sensor mod…
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning
Ronald Kemker, Carl Salvaggio, Christopher Kanan
Deep convolutional neural networks (DCNNs) have been used to achieve state-of-the-art performance on many computer vision tasks (e.g., object recognition, object detection, semanti…