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Found 5 papers, 3 papers with code
JDocQA: Japanese Document Question Answering Dataset for Generative Language Models
Document question answering is a task of question answering on given documents such as reports, slides, pamphlets, and websites, and it is a truly demanding task as paper and electronic forms of documents are so common in our society.
Vision Language Model-based Caption Evaluation Method Leveraging Visual Context Extraction
Given the accelerating progress of vision and language modeling, accurate evaluation of machine-generated image captions remains critical.
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
To tackle this problem, we introduce the CityRefer dataset for city-level visual grounding.
Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans
We present a novel task for cross-dataset visual grounding in 3D scenes (Cross3DVG), which overcomes limitations of existing 3D visual grounding models, specifically their restricted 3D resources and consequent tendencies of overfitting a specific 3D dataset.
ScanQA: 3D Question Answering for Spatial Scene Understanding
We propose a new 3D spatial understanding task of 3D Question Answering (3D-QA).
