Winsor-CAM: Human-Tunable Visual Explanations From Deep Networks via Layer-Wise Winsorization.
- DOI
- 10.1109/tpami.2026.3668075
- 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.2026.3668075,
title = {Winsor-CAM: Human-Tunable Visual Explanations From Deep Networks via Layer-Wise Winsorization.},
author = {Wall C and Wang L and Rizk R and Santosh KC},
year = {2026},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2026.3668075},
url = {https://doi.org/10.1109/tpami.2026.3668075}
}RIS
TY - JOUR TI - Winsor-CAM: Human-Tunable Visual Explanations From Deep Networks via Layer-Wise Winsorization. AU - Wall C AU - Wang L AU - Rizk R AU - Santosh KC PY - 2026 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2026.3668075 UR - https://doi.org/10.1109/tpami.2026.3668075 ER -
APA
C, W., L, W., R, R., & KC, S. (2026). Winsor-CAM: Human-Tunable Visual Explanations From Deep Networks via Layer-Wise Winsorization.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3668075
Source records
- pubmed · retrieved 2026-09-24T20:06:19.591Z