Attribution Localization on Manometry
4.16MSECF_VAE
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CF_VAEBaseline=Counterfactual (VAE)2025.08 | 4.16 | 32 | 72 | |
| CFVAEGenerative Model=VAE2025.08 | 4.16 | 32 | 72 | |
| EG (CF)_VAEMethod=Integrated Gradients, Baseline=Counterfactual (VAE)2025.08 | 4.17 | 31 | 74 | |
| EG (CF)VAEGenerative Model=VAE2025.08 | 4.17 | 31 | 74 | |
| EG (CF)_Dif.Method=Integrated Gradients, Baseline=Counterfactual (Diffusion)2025.08 | 4.26 | 26 | 77 | |
| EG (CF)Dif.Generative Model=Diffusion2025.08 | 4.26 | 26 | 77 | |
| CF_Dif.Baseline=Counterfactual (Diffusion)2025.08 | 4.37 | 23 | 77 | |
| LIG2025.08 | 4.37 | 24 | 80 | |
| CFDif.Generative Model=Diffusion2025.08 | 4.37 | 23 | 77 | |
| EG (n)Baseline Type=Expected Gradients with 50 random normal samples2025.08 | 4.4 | 24 | 82 | |
| CF-IG2025.08 | 4.43 | 20 | 81 | |
| EGBaseline=Expected Gradients (Standard)2025.08 | 4.45 | 22 | 83 | |
| Mean (n)Baseline Type=Mean normal sample2025.08 | 4.46 | 21 | 81 | |
| ZerosBaseline=Zeros2025.08 | 4.5 | 19 | 85 | |
| GIG2025.08 | 4.5 | 19 | 85 | |
| OnesBaseline=Ones2025.08 | 4.55 | 15 | 88 | |
| Rand (n)Baseline Type=Random normal sample2025.08 | 4.57 | 18 | 83 | |
| IG22025.08 | 4.76 | 11 | 88 | |
| BlurredBaseline=Blurred2025.08 | 4.8 | 12 | 89 | |
| UniformBaseline=Uniform2025.08 | 4.85 | 9 | 92 | |
| DIFFDif.Generative Model=Diffusion2025.08 | 5.87 | 14 | 91 | |
| DIFFVAEGenerative Model=VAE2025.08 | 5.88 | 33 | 87 |