Abnormally Detection

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Presentation transcript:

Abnormally Detection 𝑨= 𝑵 𝒔 +𝝀 𝑵 𝒐 Difference map and anomality map is obtained by: ∆ 𝑜 =𝑂− 𝑝 𝑜 ∆ 𝑠 =ℎ 𝐹 −ℎ( 𝑝 𝐹 ) 𝑁 𝑜 = 1 𝑚 𝑜 ∆ 𝑜 𝑁 𝑠 = 1 𝑚 𝑠 𝑢𝑝𝑠𝑎𝑚𝑝𝑙𝑒( ∆ 𝑠 ) 𝑨= 𝑵 𝒔 +𝝀 𝑵 𝒐 The model is comprised by two different generative networks. Net 1: 𝐺 𝑂→𝐹 Net 2: 𝐺 𝐹→𝑂 Note: h(*) is the conv5 layer of AlexNet pretrained on Imagenet.

Abnormally Detection Isola, Phillip, et al. "Image-to-image translation with conditional adversarial networks." arXiv preprint arXiv:1611.07004 (2016).

Dataset 1 Generated Ground Truth Input Generated Ground Truth Input Training process

Dataset 1 Generated Ground Truth Input Generated Ground Truth Input

Dataset 1 Generated Ground Truth Input Generated Ground Truth Input

Dataset 2 Generated Ground Truth Input Generated Ground Truth Input

Dataset 2 Generated Ground Truth Input Generated Ground Truth Input