Cover Image

VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Penzkofer, Anna, Shi, Lei, Bulling, Andreas
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding
by: Han, Hongyong, et al.
Published: (2025)

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering
by: Chen, Pingyi, et al.
Published: (2024)

VQA$^2$: Visual Question Answering for Video Quality Assessment
by: Jia, Ziheng, et al.
Published: (2024)

PitVQA++: Vector Matrix-Low-Rank Adaptation for Open-Ended Visual Question Answering in Pituitary Surgery
by: He, Runlong, et al.
Published: (2025)

Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring
by: Vu, Sinh Trong, et al.
Published: (2025)

RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
by: Butsanets, Léo, et al.
Published: (2025)

AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
by: Tuong, Nguyen Anh, et al.
Published: (2026)

From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
by: Ishmam, Md Farhan, et al.
Published: (2023)

UCSF-PDGM-VQA: Visual Question Answering dataset for brain tumor MRI interpretation
by: Ghosh, Shiv, et al.
Published: (2026)

TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains
by: Kim, Yoonsik, et al.
Published: (2024)

MaS-VQA: A Mask-and-Select Framework for Knowledge-Based Visual Question Answering
by: Mao, Xianwei, et al.
Published: (2026)

SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering
by: Zhang, Yan, et al.
Published: (2025)

VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)

Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations
by: Yeh, Yahsin, et al.
Published: (2025)

M$^3$-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering
by: Ma, Jiatong, et al.
Published: (2026)

ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
by: Diao, Xingjian, et al.
Published: (2025)

VoQA: Visual-only Question Answering
by: An, Jianing, et al.
Published: (2025)

Knowledge Detection by Relevant Question and Image Attributes in Visual Question Answering
by: Ahir, Param, et al.
Published: (2023)

MGA-VQA: Secure and Interpretable Graph-Augmented Visual Question Answering with Memory-Guided Protection Against Unauthorized Knowledge Use
by: Mohammadshirazi, Ahmad, et al.
Published: (2025)

Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts
by: Özdemir, Övgü, et al.
Published: (2024)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
by: Rashid, Hasib-Al, et al.
Published: (2024)

Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer
by: Youssef, Mohamed, et al.
Published: (2026)

PlantVillageVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science
by: Sakib, Syed Nazmus, et al.
Published: (2025)

MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
by: Min, Juhong, et al.
Published: (2024)

FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
by: Huang, Chengyue, et al.
Published: (2025)

Object Attribute Matters in Visual Question Answering
by: Li, Peize, et al.
Published: (2023)

DermaVQA-DAS: Dermatology Assessment Schema (DAS) & Datasets for Closed-Ended Question Answering & Segmentation in Patient-Generated Dermatology Images
by: Yim, Wen-wai, et al.
Published: (2025)

WikiVQABench: A Knowledge-Grounded Visual Question Answering Benchmark from Wikipedia and Wikidata
by: Shbita, Basel, et al.
Published: (2026)

Free Form Medical Visual Question Answering in Radiology
by: Narayanan, Abhishek, et al.
Published: (2024)

Saliency Guided Longitudinal Medical Visual Question Answering
by: Wu, Jialin, et al.
Published: (2025)

Multi-Sourced Compositional Generalization in Visual Question Answering
by: Li, Chuanhao, et al.
Published: (2025)

TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering
by: Rajkhowa, Tonmoy, et al.
Published: (2024)

VidCtx: Context-aware Video Question Answering with Image Models
by: Goulas, Andreas, et al.
Published: (2024)

FaithSCAN: Model-Driven Single-Pass Hallucination Detection for Faithful Visual Question Answering
by: Tong, Chaodong, et al.
Published: (2026)

Parameter-Efficient VLMs for Gastrointestinal Endoscopy: Medical Image Generation and Clinical Visual Question Answering
by: Peter, Ojonugwa Oluwafemi Ejiga, et al.
Published: (2026)

Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering
by: Marouf, Imad Eddine, et al.
Published: (2025)

Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
by: Lim, Youngsun, et al.
Published: (2024)

VQA-Levels: A Hierarchical Approach for Classifying Questions in VQA
by: Madaka, Madhuri Latha, et al.
Published: (2025)

MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering
by: Xi, Suyang, et al.
Published: (2026)

Variational Visual Question Answering for Uncertainty-Aware Selective Prediction
by: Wieczorek, Tobias Jan, et al.
Published: (2025)