VQA v2

A new training framework for Visual Question Answering (VQA) achieves 61.64% accuracy on the bias-sensitive VQA-CP v2 benchmark while maintaining 62.80% on the standard VQA v2 dataset, a generalizatio…

Researchers introduced the Integral Transform Network (ITNet), a unified architecture that subsumes convolution, attention, and recurrence as special cases of a learnable integral transform. ITNet mat…