List your company

Classification Attribution on ImageNet correct samples

0.8679Insertion ScoreTRACE+G
0.3899160.5140080.63810.762192Jun 16, 2026Jun 19, 2026Jun 23, 2026Jun 26, 2026Jun 30, 2026Jul 3, 2026Jul 7, 2026

Evaluation results

MethodLinks
TRACE+GBackbone=CLIP ViT-L/142026.070.86790.13420.9799——0.96773.69
COPAIR+GBackbone=CLIP ViT-L/142026.070.86250.13440.9796——0.96923.6
TRACE+PWBackbone=CLIP ViT-L/142026.070.84510.16310.9736——0.95511.52
Greedy (G)Backbone=CLIP ViT-L/142026.070.84310.11730.9787——0.95974.08
COPAIR+PWBackbone=CLIP ViT-L/142026.070.84190.16170.9736——0.95881.47
PhaseWin (PW)Backbone=CLIP ViT-L/142026.070.80370.1510.9707——0.93081.73
GreedyBackbone=ResNet-1012026.060.79260.14490.93491,744.074.54——
PhaseWinBackbone=ResNet-1012026.060.76720.15560.9225907.738.45——
HSICBackbone=CLIP ViT-L/142026.070.66240.26170.9223——0.83980.5
Grad-ECLIPBackbone=CLIP ViT-L/142026.070.6420.28020.9309——0.8067—
RISEBackbone=CLIP ViT-L/142026.070.61730.31030.9325——0.8112
HSICBackbone=ResNet-1012026.060.61280.22330.82131,5363.99——
RISEBackbone=ResNet-1012026.060.60830.24290.82545,0001.22——
Gradient IntegralBackbone=ResNet-1012026.060.50620.33470.8064————
IGOS++Backbone=CLIP ViT-L/142026.070.50180.39920.9136——0.6265—
IGOS++Backbone=ResNet-1012026.060.4740.35360.8136————
GradientBackbone=ResNet-1012026.060.46490.36370.8025————
GradientBackbone=CLIP ViT-L/142026.070.43530.4750.9118——0.5148—
IG2Backbone=CLIP ViT-L/142026.070.40830.49710.9119——0.461—