CLIP Graph Adaptor: A Dual-Graph Adapted Visual--Language Model for Weakly Supervised Semantic Segmentation.
- DOI
- 10.1109/tnnls.2026.3683363
- Published
- 2026 Oct
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3683363,
title = {CLIP Graph Adaptor: A Dual-Graph Adapted Visual--Language Model for Weakly Supervised Semantic Segmentation.},
author = {Zhang J and Peng B and Wu X and He C},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3683363},
url = {https://doi.org/10.1109/tnnls.2026.3683363}
}RIS
TY - JOUR TI - CLIP Graph Adaptor: A Dual-Graph Adapted Visual--Language Model for Weakly Supervised Semantic Segmentation. AU - Zhang J AU - Peng B AU - Wu X AU - He C PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3683363 UR - https://doi.org/10.1109/tnnls.2026.3683363 ER -
APA
J, Z., B, P., X, W., & C, H. (2026). CLIP Graph Adaptor: A Dual-Graph Adapted Visual--Language Model for Weakly Supervised Semantic Segmentation.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3683363
Source records
- pubmed · retrieved 2026-11-10T11:12:42.467Z