Explainable AI Evaluation on Photobombing benchmark leaderboard · SOTA2 Research

Explainable AI Evaluation on Photobombing

66.01Area CoverageKernelShap

Evaluation Results

Method	Links
KernelShap2024.11		66.01	22.46	25.27	26.12	—	91.88
KernelShap2024.11		66.01	22.46	25.27	26.12	—	91.88
Grad-CAM2024.11		60.25	19.07	30.3	27.15	—	91.96
KernelShap2024.11		51.68	23.3	37	36.65	—	91.86
ig2024.11		45.98	22.51	48.06	14.86	—	88.89
IG2024.11		41.84	23.11	51.78	18.53	—	88.06
ig2024.11		41.84	23.11	51.78	18.53	—	88.06
GradientShap2024.11		37.26	24.65	56.07	9.67	—	88.02
noisetunnel2024.11		36.47	24.47	54.39	10.12	—	88.35
GradientShap2024.11		29.6	23.73	63.7	11.4	—	85.33
GradientShap2024.11		29.6	23.73	63.7	11.4	—	85.33
rise2024.11		28.03	20.56	61.19	17.41	—	89.15
LRP2024.11		24.29	20.5	60.49	36.87	—	90.58
lrp2024.11		24.29	20.5	60.49	36.87	—	90.58
lime2024.11		17.48	14.58	73.65	17.78	—	88.91
NoiseTunnel2024.11		15.65	18.32	76.04	13.48	—	87.32
noisetunnel2024.11		15.65	18.32	76.04	13.48	—	87.32
rex2024.11		14.02	10.46	68.83	20.73	—	95.51
RISE2024.11		7.87	9.42	89.06	29.77	—	87.98
rise2024.11		7.87	9.42	89.06	29.77	—	87.98
LIME2024.11		5.07	5.23	99.37	30.46	—	89.21
lime2024.11		5.07	5.23	99.37	30.46	—	89.21
Grad-CAM2024.11		4.55	6.42	98.43	36.25	—	85.05
Grad-CAM2024.11		4.55	6.42	98.43	36.25	—	85.05
REX2024.11		2.97	2.6	104.81	29.47	—	97.39
rex2024.11		2.97	2.6	104.81	29.47	—	97.39