For adversarial patches attacking YOLOv7 person detection, linear PCA reconstructs and samples the patch subspace at least as well as autoencoder and conditional variational autoencoder models, despite the autoencoders' more complex nonlinear latent spaces.
Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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Traversing the Subspace of Adversarial Patches
For adversarial patches attacking YOLOv7 person detection, linear PCA reconstructs and samples the patch subspace at least as well as autoencoder and conditional variational autoencoder models, despite the autoencoders' more complex nonlinear latent spaces.