Calibration Results for Established Post-hoc Calibration Methods
Description
This archive contains model output files from the application of 20 established post-hoc calibration methods across 15 different calibration tasks. The included methods are: HB, Iso, BBQ, ENIR, TS, VS, MS, Beta, ScaBin, Dir, GP, DIAG, DEC, IMax, SoftBin, Spline, EC, LECE, SCTL, and TS+LECE.
Details of the calibration tasks, experimental setup, and the implementation of these methods can be found in the comparison section of the GitHub repository: https://github.com/WenjianHuang93/h-Calibration
For a comprehensive description of the benchmarking methods and tasks, please refer to the following publication:
Huang W, Cao G, Xia J, Chen J, Wang H, Zhang J. h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
Files
Files
(14.1 GB)
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md5:2bfb3b8ad3fcf44908d0db9bf54de422
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14.1 GB | Download |
Additional details
Identifiers
- arXiv
- arXiv:2506.17968
Related works
- Is supplement to
- Other: arXiv:2506.17968 (arXiv)
Dates
- Accepted
-
2025-06-22
Software
- Repository URL
- https://github.com/WenjianHuang93/h-Calibration
- Programming language
- Python
References
- Huang W, Cao G, Xia J, et al. h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.