Data · dataset · 2025
HRVQA dataset underlying the PhD thesis of Kun Li: Interactive Vision-Language Understanding: from Question Answering to Guided Segmentation
Listed in DANS Data Station Physical and Technical Sciences
Visual question answering (VQA) is an important and challenging multimodal task in computer vision.
Description
We bring VQA task to high-resolution aerial images and propose a large-scale dataset HRVQA based on a semi-automatically construction scheme, which covers the inferences from commonly-seen task reasoning to specific attribute recognition.
Links
Where it is published
- Dataverse dataset page phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FPT%2F31SAWD ↗
landing page · from phys techsciences datastations nl
- DOI doi.org/10.17026/pt/31sawd ↗
DOI / persistent id · from phys techsciences datastations nl
Catalogue records · 1
- Dataverse API phys-techsciences.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FPT%2… ↗
metadata API · from phys techsciences datastations nl
Topics
- Stated by source
- Computer and Information Science · Earth and Environmental Sciences
- From keywords
- Computer Science & AI · Earth & Environmental Science · Satellite remote sensing
- Inferred from text
- Image 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Physical and Technical Sciences | doi:10.17026/PT/31SAWD | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:computer-and-information-science | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:remote-sensing | mapping · phys techsciences datastations nl | vocabulary-mapper@1.0.0 | keywords['Remote Sensing'] |
| created_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| description | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /description |
| publication_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| title | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /name |
| updated_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| version_label | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 |