Finding strong gravitational lenses through self-attention - Study based on the Bologna Lens Challenge

Open Access

Table 4

Comparison of encoder models and models that participated in the Bologna Lens Challenge, listed in decreasing order of AUROC.

Name	AUROC	TPR₀	TPR₁₀	Model type
CMU-DeepLens Resnet-ground3	0.981	0.09	0.45	CNN
Lens Detector 21	0.981	0.00	0.64	Transformer
CMU-DeepLens Resnet-Voting	0.980	0.02	0.10	CNN
Lens Detector 15	0.978	0.140	0.48	Transformer
Lens Detector 18	0.976	0.113	0.59	Transformer
LASTRO EPFL	0.97	0.07	0.11	CNN

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