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34 lines (34 loc) · 1.06 KB
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
authors:
- family-names: "Shrack"
given-names: "Lauren"
title: "PAIR-X: Pairwise mAtching of Intermediate Representations for eXplainability"
version: "0.1.0"
doi: 10.48550/arXiv.2503.22881
date-released: 2025-01-15
license: MIT
abstract: "PAIR-X provides pairwise matching of intermediate representations for fine-grained explainability in deep metric learning models."
keywords:
- explainable-ai
- computer-vision
- deep-learning
preferred-citation:
type: article
authors:
- family-names: "Shrack"
given-names: "Lauren"
- family-names: "Haucke"
given-names: "Timm"
- family-names: "Salaün"
given-names: "Antoine"
- family-names: "Subramonian"
given-names: "Arjun"
- family-names: "Beery"
given-names: "Sara"
doi: "10.48550/arXiv.2503.22881"
journal: "arXiv preprint"
title: "Pairwise Matching of Intermediate Representations for Fine-grained Explainability"
year: 2025
url: "https://arxiv.org/abs/2503.22881"