Published July 12, 2025 | Version v1
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Calibration Results for Established Post-hoc Calibration Methods

  • 1. ROR icon Southern University of Science and Technology

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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Additional details

Identifiers

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.