PCNN Ranking
Probable-Class Nearest-Neighbor Ranking
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).
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans
https://paperswithcode.com/paper/advisingnets-learning-to-distinguish-correct
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans