The recently proposed Vision transformers (ViTs) have shown very impress...
Data augmentation is often used to enlarge datasets with synthetic sampl...
Almost all the state-of-the-art neural networks for computer vision task...
Contrastive learning methods have significantly narrowed the gap between...
Major decisions from governments and other large organizations rely on
m...
The combination of high-resolution satellite imagery and machine learnin...
Farm parcel delineation provides cadastral data that is important in
dev...
While high resolution images contain semantically more useful informatio...
Accurate local-level poverty measurement is an essential task for govern...
Satellite images hold great promise for continuous environmental monitor...
Traditionally, an object detector is applied to every part of the scene ...
Despite recent progress in computer vision, finegrained interpretation o...
Progress on the UN Sustainable Development Goals (SDGs) is hampered by a...
Despite recent progress in computer vision, fine-grained interpretation ...
Computer vision technologies are very attractive for practical applicati...
Hyperspectral imaging holds enormous potential to improve the
state-of-t...
Hyperspectral cameras can provide unique spectral signatures for consist...