Cover Image

Adversarial AutoMixup

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qin, Huafeng, Jin, Xin, Jiang, Yun, El-Yacoubi, Mounim A., Gao, Xinbo
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SUMix: Mixup with Semantic and Uncertain Information
by: Qin, Huafeng, et al.
Published: (2024)

StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
by: Jin, Xin, et al.
Published: (2024)

EmMixformer: Mix transformer for eye movement recognition
by: Qin, Huafeng, et al.
Published: (2024)

MsMemoryGAN: A Multi-scale Memory GAN for Palm-vein Adversarial Purification
by: Qin, Huafeng, et al.
Published: (2024)

Adversarial Masking Contrastive Learning for vein recognition
by: Qin, Huafeng, et al.
Published: (2024)

Neural Architecture Search based Global-local Vision Mamba for Palm-Vein Recognition
by: Qin, Huafeng, et al.
Published: (2024)

Understanding Cross Task Generalization in Handwriting-Based Alzheimer's Screening via Vision Language Adaptation
by: Gong, Changqing, et al.
Published: (2025)

Hybrid Transformer for Early Alzheimer's Detection: Integration of Handwriting-Based 2D Images and 1D Signal Features
by: Gong, Changqing, et al.
Published: (2024)

EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition
by: Qin, Huafeng, et al.
Published: (2024)

Relax DARTS: Relaxing the Constraints of Differentiable Architecture Search for Eye Movement Recognition
by: Zhu, Hongyu, et al.
Published: (2024)

Polar Coordinate-Based 2D Pose Prior with Neural Distance Field
by: Gan, Qi, et al.
Published: (2025)

PEEK: Picking Essential frames via Efficient Knowledge distillation
by: Steunou, Killian, et al.
Published: (2026)

Frame Sampling Strategies Matter: A Benchmark for small vision language models
by: Brkic, Marija, et al.
Published: (2025)

A Survey on Mixup Augmentations and Beyond
by: Jin, Xin, et al.
Published: (2024)

OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning
by: Li, Siyuan, et al.
Published: (2022)

Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition
by: Li, Ping, et al.
Published: (2025)

Imperceptible Face Forgery Attack via Adversarial Semantic Mask
by: Liu, Decheng, et al.
Published: (2024)

Rectifying Adversarial Sample with Low Entropy Prior for Test-Time Defense
by: Ma, Lina, et al.
Published: (2025)

Improving Adversarial Robustness via Decoupled Visual Representation Masking
by: Liu, Decheng, et al.
Published: (2024)

Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition
by: Yoon, Youngseok, et al.
Published: (2024)

Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size
by: Liu, Junlin, et al.
Published: (2024)

Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training
by: Zhou, Dawei, et al.
Published: (2021)

DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
by: Lee, Jin-Seop, et al.
Published: (2024)

Selective Volume Mixup for Video Action Recognition
by: Tan, Yi, et al.
Published: (2023)

Mixup Helps Understanding Multimodal Video Better
by: Ma, Xiaoyu, et al.
Published: (2025)

Distance Transform Guided Mixup for Alzheimer's Detection
by: Batool, Zobia, et al.
Published: (2025)

Disentangle Before Anonymize: A Two-stage Framework for Attribute-preserved and Occlusion-robust De-identification
by: Zhu, Mingrui, et al.
Published: (2023)

TeSG: Textual Semantic Guidance for Infrared and Visible Image Fusion
by: Zhu, Mingrui, et al.
Published: (2025)

Infrared and Visible Image Fusion with Hierarchical Human Perception
by: Yang, Guang, et al.
Published: (2024)

Improving Transferable Targeted Attacks with Feature Tuning Mixup
by: Liang, Kaisheng, et al.
Published: (2024)

Inter-Domain Mixup for Semi-Supervised Domain Adaptation
by: Li, Jichang, et al.
Published: (2024)

Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
by: Zhang, Lei, et al.
Published: (2024)

Ranking-based Adaptive Query Generation for DETRs in Crowded Pedestrian Detection
by: Gao, Feng, et al.
Published: (2023)

An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition
by: Xu, Haojun, et al.
Published: (2024)

A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation
by: Zhou, Dawei, et al.
Published: (2025)

Mixup Augmentation with Multiple Interpolations
by: Shen, Lifeng, et al.
Published: (2024)

BGM: Background Mixup for X-ray Prohibited Items Detection
by: Liu, Weizhe, et al.
Published: (2024)

Text-Guided Mixup Towards Long-Tailed Image Categorization
by: Franklin, Richard, et al.
Published: (2024)

FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization
by: Faria, Fabio A., et al.
Published: (2024)

Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
by: Panfilov, Egor, et al.
Published: (2019)