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Found 5 papers, 0 papers with code
SEnSeI: A Deep Learning Module for Creating Sensor Independent Cloud Masks
We introduce a novel neural network architecture -- Spectral ENcoder for SEnsor Independence (SEnSeI) -- by which several multispectral instruments, each with different combinations of spectral bands, can be used to train a generalised deep learning model.
Measuring spatial uniformity with the hypersphere chord length distribution
Data uniformity is a concept associated with several semantic data characteristics such as lack of features, correlation and sample bias.
Real-time tracker with fast recovery from target loss
When the confidence is low, we avoid updating the object's position through the feature map; instead, the tracker passes to a single-frame failure mode, during which the patch's low-level visual content is used to swiftly update the object's position, before recovering from the target loss in the next frame.
Hide and Seek tracker: Real-time recovery from target loss
In the case of a low confidence, the position update is rejected and the tracker passes to a single-frame failure mode, during which the patch low-level visual content is used to swiftly update the object position, before recovering from the target loss in the next frame.
N-sphere chord length distribution
This work studies the chord length distribution, in the case where both ends lie on a $N$-dimensional hypersphere ($N \geq 2$).
