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Models/Saliency

Saliency

Reported on 7 benchmarks across 2 tasks · 1 paper · 7 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Image AttributiononVGGFace2
Deletion AUC score (ArcFace ResNet-101)· 2013-12-20
0.1907
best: 0.3103 (Grad-CAM)
SOTA
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps arXiv:1312.6034
Image AttributiononVGGFace2
Insertion AUC score (ArcFace ResNet-101)· 2013-12-20
0.5612
best: 0.6705 (SMDL-Attribution (ICLR version))
SOTA
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps arXiv:1312.6034
Image AttributiononCUB-200-2011
Deletion AUC score (ResNet-101)· 2013-12-20
0.0682
best: 0.107 (LIME)
SOTA
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps arXiv:1312.6034
Image AttributiononCUB-200-2011
Insertion AUC score (ResNet-101)· 2013-12-20
0.6585
best: 0.7262 (SMDL-Attribution (ICLR version))
SOTA
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps arXiv:1312.6034
Image AttributiononCelebA
Deletion AUC score (ArcFace ResNet-101)· 2013-12-20
0.1453
best: 0.2865 (Grad-CAM)
SOTA
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps arXiv:1312.6034
Image AttributiononCelebA
Insertion AUC score (ArcFace ResNet-101)· 2013-12-20
0.4632
best: 0.5752 (SMDL-Attribution (ICLR version))
SOTA
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps arXiv:1312.6034

Miscellaneous1 result

Interpretability Techniques for Deep LearningonCelebA
Insertion AUC score· 2013-12-20
0.4632
best: 0.5703 (RISE)
SOTA
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps arXiv:1312.6034