Paper

Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data

Can we develop visually grounded dialog agents that can efficiently adapt to new tasks without forgetting how to talk to people? Such agents could leverage a larger variety of existing data to generalize to new tasks, minimizing expensive data collection and annotation... (read more)

Results in Papers With Code
(↓ scroll down to see all results)