Adding relative spatial coordinate maps or using early FiLM-style modulation with convolutions, rather than attention or relation modules, drives performance on simple spatial language in VQA.
An intriguing failing of convolutional neural networks and the CoordConv solution
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What is needed for simple spatial language capabilities in VQA?
Adding relative spatial coordinate maps or using early FiLM-style modulation with convolutions, rather than attention or relation modules, drives performance on simple spatial language in VQA.