A Metacognitive Approach to Out-of-Distribution Detection for Segmentation
Meghna Gummadi,Cassandra Kent,Karl Schmeckpeper,Eric Eaton,Meghna Gummadi,Cassandra Kent,Karl Schmeckpeper,Eric Eaton
Despite outstanding semantic scene segmentation in closed-worlds, deep neural networks segment novel instances poorly, which is required for autonomous agents acting in an open world. To improve out-of-distribution (OOD) detection for segmentation, we introduce a metacognitive approach in the form of a lightweight module that leverages entropy measures, segmentation predictions, and spatial contex...
