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Found 4 papers, 2 papers with code
Random Position Adversarial Patch for Vision Transformers
Due to this stringent requirement, deploying adversarial patches for vision transformers in the physical world becomes impractical, unlike their effectiveness on CNNs.
Brightness-Restricted Adversarial Attack Patch
We also conducted an analysis of the impact of various image features (such as color, texture, noise, and size) on the effectiveness of an attack patch in physical-world deployment.
Analyzing the Domain Shift Immunity of Deep Homography Estimation
This study explores the resilience of a variety of deep homography estimation models to domain shifts, revealing that the network architecture itself is not a contributing factor to this remarkable adaptability.
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment
We address a problem of estimating pose of a person's head from its RGB image.
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