Part-factorized CBM with Gaussian spatial prior matches supervised 88.85% top-1 accuracy on CUB-200-2011 while raising pointing accuracy to 52.6% and works with 0.5% keypoint data or PCA foreground only.
arXiv preprint arXiv:2305.19550 , year =
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Spatially Grounded Concept Bottleneck Models via Part-Factorized Attention
Part-factorized CBM with Gaussian spatial prior matches supervised 88.85% top-1 accuracy on CUB-200-2011 while raising pointing accuracy to 52.6% and works with 0.5% keypoint data or PCA foreground only.