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Found 7 papers, 0 papers with code
A Visually-grounded First-person Dialogue Dataset with Verbal and Non-verbal Responses
The results demonstrate that first-person vision helps neural network models correctly understand human intentions, and the production of non-verbal responses is a challenging task like that of verbal responses.
RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization
A release note is a technical document that describes the latest changes to a software product and is crucial in open source software development.
How do people talk about images? A study on open-domain conversations with images.
This paper explores how humans conduct conversations with images by investigating an open-domain image conversation dataset, ImageChat.
Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning
Siamese-network-based self-supervised learning (SSL) suffers from slow convergence and instability in training.
Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances
With the widespread use of intelligent systems, such as smart speakers, addressee recognition has become a concern in human-computer interaction, as more and more people expect such systems to understand complicated social scenes, including those outdoors, in cafeterias, and hospitals.
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps
The proposed method is based on a popular VQA method that uses an attention mechanism.
