Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing.
- DOI
- 10.1109/tpami.2026.3674640
- Published
- 2026 Jul
- Container
- IEEE transactions on pattern analysis and machine intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3674640,
title = {Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing.},
author = {Yin Z and Li B and Liang K and Sun H and He Z and Ma Z and Guo J},
year = {2026},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2026.3674640},
url = {https://doi.org/10.1109/tpami.2026.3674640}
}RIS
TY - JOUR TI - Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing. AU - Yin Z AU - Li B AU - Liang K AU - Sun H AU - He Z AU - Ma Z AU - Guo J PY - 2026 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2026.3674640 UR - https://doi.org/10.1109/tpami.2026.3674640 ER -
APA
Z, Y., B, L., K, L., H, S., Z, H., Z, M., & J, G. (2026). Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3674640
Source records
- pubmed · retrieved 2026-09-25T09:22:00.778Z