The purpose of this work is to create augmentation specialized for face recognition and devoid of the shortcomings of previous works. We present FaceMix: a flexible face-specific data augmentation technique that transfers a local area of an image to another image.
Apr 13, 2023
Apr 13, 2023 · We present FaceMix: a flexible face-specific data augmentation technique that transfers a local area of an image to another image. The method ...
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Nov 13, 2023 · all experiments we used FaceMix-BI [35] data augmentation with 5 ... Transferring local regions for data augmentation in face recognition,”.
Their main idea is to replace or remove some local regions of the image. The advantage of these methods is that they change part of the image and force the ...
FaceMix: Transferring local regions for data augmentation in face recognition ... Augmentation strategies for image recognition based on local image ...
May 17, 2024 · In this method, we firstly interpolate the two original training samples at the pixel level in a random ratio to generate new samples. Then, ...
Missing: FaceMix: Transferring Local
Abstract We identify two issues as key to developing effec- tive face recognition systems: maximizing the appearance variations of training images and ...
This paper presents an overview of the 2nd edition of the. Face Recognition Challenge in the Era of Synthetic Data. (FRCSyn) organized at CVPR 2024. FRCSyn aims ...
As CNNs are primarily designed to en- code local image contents, the region-level mixing of CutMix can effectively pre- vent CNNs from over-focusing on local ...
Jun 30, 2022 · An interesting question is whether augmentation policies are transferable between data sets. ... image data augmentation for deep learning.
Missing: FaceMix: | Show results with:FaceMix: