TL;DR for operators A system can recognize that a sound is compatible with several visible objects and still fail to identify which object actually produced it. The missing information is sometimes spatial rather than semantic: which object is in front, where one object ends, whether two candidates overlap, and which boundary belongs to which region. ...
TL;DR for operators A standoff LWIR sensor is not looking through a clean window. It is negotiating with air. The paper Set-Based Transformer for Atmospheric Compensation in Standoff LWIR Hyperspectral Imaging proposes a lightweight Set-Transformer model for estimating three atmospheric compensation products from passive long-wave infrared hyperspectral measurements: range-specific transmittance, range-specific atmospheric path radiance, and a shared downwelling radiance spectrum.1 The operating idea is simple enough to be useful: instead of trusting one radiance measurement and asking a neural network to perform spectral divination, collect measurements from multiple standoff ranges and let their differences constrain the atmospheric inverse problem. ...