ML Research Wiki / Benchmarks / Image Attribution / CUB-200-2011

CUB-200-2011

Image Attribution Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: Insertion AUC score (ResNet-101)

Top Performing Models

Rank Model Paper Insertion AUC score (ResNet-101) Date Code
1 LIME "Why Should I Trust You?": Explaining the Predictions of Any Classifier 0.11 2016-02-16 📦 marcotcr/lime 📦 pytorch/captum 📦 thomasp85/lime
2 Kernel SHAP A Unified Approach to Interpreting Model Predictions 0.10 2017-05-22 📦 slundberg/shap 📦 pytorch/captum 📦 linkedin/fasttreeshap
3 Grad-CAM Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization 0.08 2016-10-07 📦 jacobgil/pytorch-grad-cam 📦 pytorch/captum 📦 frgfm/torch-cam
4 Integrated Gradients Axiomatic Attribution for Deep Networks 0.07 2017-03-04 📦 shap/shap 📦 pytorch/captum 📦 cdpierse/transformers-interpret
5 Saliency Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps 0.07 2013-12-20 📦 pytorch/captum 📦 MisaOgura/flashtorch 📦 FrancescoSaverioZuppichini/A-journey-into-Convolutional-Neural-Network-visualization-
6 RISE RISE: Randomized Input Sampling for Explanation of Black-box Models 0.07 2018-06-19 📦 openvinotoolkit/datumaro 📦 eclique/RISE 📦 dbash/zerowaste
7 HSIC-Attribution Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure 0.06 2022-06-13 📦 paulnovello/hsic-attribution-method
8 SMDL-Attribution (ICLR version) Less is More: Fewer Interpretable Region via Submodular Subset Selection 0.06 2024-02-14 📦 ruoyuchen10/smdl-attribution

All Papers (8)