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Found 4 papers, 3 papers with code
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
The sudden outbreak and uncontrolled spread of COVID-19 disease is one of the most important global problems today.
Lightweight Conditional Model Extrapolation for Streaming Data under Class-Prior Shift
We introduce LIMES, a new method for learning with non-stationary streaming data, inspired by the recent success of meta-learning.
Deep spatial context: when attention-based models meet spatial regression
The DSCon allows for a quantitative measure of the spatial context's role using three Spatial Context Measures: $SCM_{features}$, $SCM_{targets}$, $SCM_{residuals}$ to distinguish whether the spatial context is observable within the features of neighboring regions, their target values (attention scores) or residuals, respectively.
Position paper: Do not explain (vision models) without context
Does the stethoscope in the picture make the adjacent person a doctor or a patient?
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