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Found 7 papers, 1 papers with code
Towards Perceiving Small Visual Details in Zero-shot Visual Question Answering with Multimodal LLMs
In particular, we show that their zero-shot accuracy in answering visual questions is very sensitive to the size of the visual subject of the question, declining up to 46% with size.
FIRE: Food Image to REcipe generation
Food computing has emerged as a prominent multidisciplinary field of research in recent years.
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment
Pre-trained Language Models (LMs) can assess users' social media data and classify them in terms of their mental health risk.
Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models
As our initial analysis of BLIP-family models revealed difficulty with answering fine-detail questions, we investigate the following question: Can visual cropping be employed to improve the performance of state-of-the-art visual question answering models on fine-detail questions?
Knowledge-enhanced Agents for Interactive Text Games
We experiment with four models on the 10 tasks in the ScienceWorld text-based game environment, to illustrate the impact of knowledge injection on various model configurations and challenging task settings.
DIGITOUR: Automatic Digital Tours for Real-Estate Properties
A virtual or digital tour is a form of virtual reality technology which allows a user to experience a specific location remotely.
RE-Tagger: A light-weight Real-Estate Image Classifier
Real-estate image tagging is one of the essential use-cases to save efforts involved in manual annotation and enhance the user experience.
