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Found 7 papers, 6 papers with code
Detecting Looted Archaeological Sites from Satellite Image Time Series
Archaeological sites are the physical remains of past human activity and one of the main sources of information about past societies and cultures.
Historical Printed Ornaments: Dataset and Tasks
Our Rey's Ornaments dataset is designed to be a representative example of a set of ornaments historians would be interested in.
Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift
We show that the spatial domain shift represents the most complex setting and that the impact of temporal shift on performance is more pronounced on change detection than on semantic segmentation, highlighting that it is a specific issue deserving further attention.
OpenStreetView-5M: The Many Roads to Global Visual Geolocation
Determining the location of an image anywhere on Earth is a complex visual task, which makes it particularly relevant for evaluating computer vision algorithms.
Ranked #2 on
Photo geolocation estimation
on OpenStreetView-5M
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans
We demonstrate the usefulness of our model on a novel dataset of seven large aerial LiDAR scans from diverse real-world scenarios.
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach
We study different levels of supervision and show this simple and highly interpretable method achieves the best performance in the low data regime and significantly improves the state of the art for unsupervised classification of agricultural time series on four recent SITS datasets.
Unsupervised Layered Image Decomposition into Object Prototypes
We present an unsupervised learning framework for decomposing images into layers of automatically discovered object models.
