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Author

Tristan Kirscher

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#machine learning Jul 2026

Rethinking Post-Hoc Calibration in Semantic Segmentation

This work characterize translation-invariant (TI) calibrators and construct TI counterparts of shift-sensitive methods and introduces more expressive class-conditional affine calibrators that preserve decisions under argmax- and order-preservation constraints.

Tristan Kirscher, Kim-Celine Kahl, Balint Kovacs et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA

This submission to the MedReason 2026 challenge is described, covering multiple-choice (MCQ) and open-ended (OE) medical visual question answering (VQA) under fully offline, containerized inference, and it is found that MCQ retrieval must compare answer \emph{semantics} rather than answer labels.

Tristan Kirscher, N. Koser, S. Pirk · 0 citations

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