Methods › Computer Vision › Image Models › PCNN Ranking
Probable-Class Nearest-Neighbor Ranking
PCNN Ranking
Introduced by Giang et al. in PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
We present a new class of nearest-neighbor explanations (called Probable-Class Nearest Neighbors or PCNN) and show a novel utility of the XAI method: To improve predictions of a frozen, pretrained classifier C. Our method consistently improves fine-grained image classification accuracy on CUB-200, Cars-196, and Dogs-120. Also, a human study finds that showing lay-users our PCNN explanations improves their decision accuracy over showing only the top-1 class examples (as in prior work).
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans 25 Aug 2023 · 2 repositories · arXiv:2308.13651
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Explainable Artificial Intelligence (XAI) | 1 |
| Fine-Grained Image Classification | 1 |
| Image Classification | 1 |
| image-classification | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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