| Title: |
Extended Visual Analysis System for Scene-Graph-Based Visual Question Answering |
| Authors: |
Schäfer, Noel; Künzel, Sebastian; Tilli, Pascal; Munz-Körner, Tanja; Vidyapu, Sandeep; Vu, Ngoc Thang; Weiskopf, Daniel |
| Contributors: |
Munz-Körner, Tanja |
| Source: |
Our visual analytics system is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset . |
| Publisher Information: |
DaRUS |
| Publication Year: |
2025 |
| Subject Terms: |
Computer and Information Science; Visual Question Answering; Explainable AI; Visual Analytics; Scene Graphs |
| Description: |
Source code of our extended visual analysis system to explore scene-graph-based visual question answering. This approach is built on top of the state-of-the-art GraphVQA framework which was trained on the GQA dataset . Additionally, it is an improved version of our system that can be found here Instructions on how to use our system can be found in the README . |
| Document Type: |
dataset |
| Language: |
English |
| DOI: |
10.18419/DARUS-3909 |
| Availability: |
https://doi.org/10.18419/DARUS-3909 |
| Accession Number: |
edsbas.B01D8B4D |
| Database: |
BASE |