Self-supervised pretraining with DenseMAE produces sub-megabyte models that detect wildfires from single-band MWIR imagery at 0.699 AP and 0.744 Fire-F1 while running under 150 ms on Jetson Xavier NX.
Contribution of Working Group I to the Sixth Assessment Report of the Intergov- ernmental Panel on Climate Change, edited by Masson-Delmotte, V ., Zhai, P., Pirani, A., Connors, S
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
A non-stationary Markov process with bivariate extreme value theory attributes full heatwave time series over Europe to anthropogenic forcing via likelihood ratios between ERA5 and CMIP6 runs, finding strong evidence since the 1970s but no signal beyond mean temperature increase.
citing papers explorer
-
On-Orbit Real-Time Wildfire Detection Under On-Board Constraints
Self-supervised pretraining with DenseMAE produces sub-megabyte models that detect wildfires from single-band MWIR imagery at 0.699 AP and 0.744 Fire-F1 while running under 150 ms on Jetson Xavier NX.
-
Non-stationary time series attribution for heatwaves over Europe
A non-stationary Markov process with bivariate extreme value theory attributes full heatwave time series over Europe to anthropogenic forcing via likelihood ratios between ERA5 and CMIP6 runs, finding strong evidence since the 1970s but no signal beyond mean temperature increase.