"Tackling Low-Resource K-12 Hand-Drawn Mathematics VQA: Unified ..."

Hai Li et al. (2025)

> Home

Details and statistics

DOI: 10.1109/BIGDATA66926.2025.11402157

access: closed

type: Conference or Workshop Paper

metadata version: 2026-03-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/Li0LL25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/Li0LL25
Hai Li, Wanli Xing, Chenglu Li, Bailing Lyu:
Tackling Low-Resource K-12 Hand-Drawn Mathematics VQA: Unified Regularization with Compute-Aware Expert Token Architecture. IEEE Big Data 2025: 5472-5481

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.