An Explainable Multimodal Vision–Language Framework With Adaptive Mixture of Experts and Optimized Learning for Remote Sensing Image Captioning and Visual Question Answering
- DOI
- 10.1109/access.2026.3686569
- Published
- 2026
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2026.3686569,
title = {An Explainable Multimodal Vision–Language Framework With Adaptive Mixture of Experts and Optimized Learning for Remote Sensing Image Captioning and Visual Question Answering},
author = {M. Balakrishna Mallapu and Deepthi Godavarthi},
year = {2026},
journal = {IEEE Access},
doi = {10.1109/access.2026.3686569},
url = {https://doi.org/10.1109/access.2026.3686569}
}RIS
TY - JOUR TI - An Explainable Multimodal Vision–Language Framework With Adaptive Mixture of Experts and Optimized Learning for Remote Sensing Image Captioning and Visual Question Answering AU - M. Balakrishna Mallapu AU - Deepthi Godavarthi PY - 2026 JO - IEEE Access DO - 10.1109/access.2026.3686569 UR - https://doi.org/10.1109/access.2026.3686569 ER -
APA
Mallapu, M. B., & Godavarthi, D. (2026). An Explainable Multimodal Vision–Language Framework With Adaptive Mixture of Experts and Optimized Learning for Remote Sensing Image Captioning and Visual Question Answering. IEEE Access. https://doi.org/10.1109/access.2026.3686569
Source records
- crossref · retrieved 2026-11-08T08:00:33.637Z