Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7
Huda Alamri, Vincent Cartillier, Raphael Gontijo Lopes, Abhishek Das,, Jue Wang, Irfan Essa, Dhruv Batra, Devi Parikh, Anoop Cherian, Tim K. Marks,, Chiori Hori

TL;DR
The paper introduces the AVSD challenge and dataset to advance scene-aware dialog systems capable of discussing objects and events in videos, integrating multiple AI research areas.
Contribution
It presents a new challenge and dataset for developing dialog systems that understand and describe video content in conversational settings.
Findings
First AVSD challenge dataset released
Baseline models established for AVSD task
Encourages multi-disciplinary research in video-based dialog systems
Abstract
Scene-aware dialog systems will be able to have conversations with users about the objects and events around them. Progress on such systems can be made by integrating state-of-the-art technologies from multiple research areas including end-to-end dialog systems visual dialog, and video description. We introduce the Audio Visual Scene Aware Dialog (AVSD) challenge and dataset. In this challenge, which is one track of the 7th Dialog System Technology Challenges (DSTC7) workshop1, the task is to build a system that generates responses in a dialog about an input video
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Taxonomy
TopicsMultimodal Machine Learning Applications · Video Analysis and Summarization · Advanced Image and Video Retrieval Techniques
