Apr 27, 2022 · We name our model Attention Consistency on Visual Corruptions (ACVC). We show that ACVC consistently achieves the state of the art on three ...

During training, we apply the corruptions without any additional augmentation techniques. At inference, no corruption is applied on the images of unseen domains ...

Specifically for visual corruption implementations we benefit from: The imagecorruptions library of Autonomous Driving when Winter is Coming. Consider citing ...

The intensity of corruption increases from left → right. to denote the Fourier transform of an image X, with FA(X) its amplitude and with FP (X) its ...

During training, we apply the corruptions without any additional augmentation techniques. At inference, no corruption is applied on the images of unseen domains ...

Since these corruptions preserve object locations, we propose an attention consistency loss to ensure that class activation maps across original and corrupted ...

Since these corruptions preserve object locations, we propose an attention consistency loss to ensure that class activation maps across original and corrupted ...

Corruption. Conference Paper. Attention Consistency on Visual Corruptions for Single-Source Domain Generalization. June 2022. DOI:10.1109/CVPRW56347.2022.00461.

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization ... Generalizing visual recognition models trained on a single distribution to ...

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization ... We name our model Attention Consistency on Visual Corruptions (ACVC).