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Multi-task learning for neural image classification and segmentation using a 3D/2D contextual U-Net model
We present a 3D/2D Contextual U-Net model and apply it to segment and classify samples from a heterogeneous mouse brain dataset obtained via X-ray microtomography, which spans 4 distinct brain areas: Striatum, Ventral ...
EvalAI: Evaluating AI systems at scale
(Georgia Institute of Technology, 2018-12-06)
Artificial Intelligence research has progressed tremendously in the last few years. There has been the introduction of several new multi-modal datasets and tasks due to which it is becoming much harder to compare new ...