ShapeWorld
Introduced by Kuhnle et al. in ShapeWorld - A new test methodology for multimodal language understanding
ShapeWorld is a new evaluation methodology and framework for multimodal deep learning models, with a focus on formal-semantic style generalization capabilities. In this framework, artificial data is automatically generated according to predefined specifications. This controlled data generation makes it possible to introduce previously unseen instance configurations during evaluation, which consequently require the system to recombine learned concepts in novel ways.
Source: ShapeWorld - A new test methodology for multimodal language understandingPapers
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