The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. (arXiv:2205.12502v1 [cs.CV])

Visual dialog (VisDial) is a task of answering a sequence of questions
grounded in an image, using the dialog history as context. Prior work has
trained the dialog agents solely on VisDial data via supervised learning or
leveraged pre-training on related vision-and-language datasets. This paper
presents a semi-supervised learning approach for visually-grounded dialog,
called Generative Self-Training (GST), to leverage unlabeled images on the Web.
Specifically, GST first retrieves in-domain images through out-of-distribution
detection and generates synthetic dialogs regarding the images …

arxiv cv go self-training training