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Enhancing large vision language models with self-training on image comprehension
Enabling harmonious human-machine interaction with visual-context augmented dialogue system: A review
The intelligent dialogue system, aiming at communicating with humans harmoniously with
natural language, is brilliant for promoting the advancement of human-machine interaction …
natural language, is brilliant for promoting the advancement of human-machine interaction …
Retrieval across any domains via large-scale pre-trained model
In order to enhance the generalization ability towards unseen domains, universal cross-
domain image retrieval methods require a training dataset encompassing diverse domains …
domain image retrieval methods require a training dataset encompassing diverse domains …
VD-GR: boosting visual dialog with cascaded spatial-temporal multi-modal graphs
We propose VD-GR--a novel visual dialog model that combines pre-trained language
models (LMs) with graph neural networks (GNNs). Prior works mainly focused on one class …
models (LMs) with graph neural networks (GNNs). Prior works mainly focused on one class …
InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models
In this paper, we build a visual dialogue dataset, named InfoVisDial, which provides rich
informative answers in each round even with external knowledge related to the visual …
informative answers in each round even with external knowledge related to the visual …
Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data
The ability to generate sentiment-controlled feedback in response to multimodal inputs
comprising text and images addresses a critical gap in human-computer interaction. This …
comprising text and images addresses a critical gap in human-computer interaction. This …