Cover Image

Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Chenxing, Li, Yang, Wu, Shihao, Tan, Wenyi, Zhou, Shuangju, Pan, Quan
Format:	Preprint
Published:	2024
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

DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation
by: Tan, Wenyi, et al.
Published: (2023)

Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Segmentation Models with Patch Attack
by: Suryanto, Naufal, et al.
Published: (2024)

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
by: Zheng, Junhao, et al.
Published: (2024)

Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
by: Cheng, Zhiyuan, et al.
Published: (2024)

SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
by: Guesmi, Amira, et al.
Published: (2024)

BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World
by: Guo, Ji, et al.
Published: (2025)

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation
by: Guesmi, Amira, et al.
Published: (2023)

Guided Diffusion-based Generation of Adversarial Objects for Real-World Monocular Depth Estimation Attacks
by: Chen, Yongtao, et al.
Published: (2025)

Projection-based Adversarial Attack using Physics-in-the-Loop Optimization for Monocular Depth Estimation
by: Kusakabe, Takeru, et al.
Published: (2025)

Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training
by: Yao, Yuanqi, et al.
Published: (2024)

Pixel-Optimization-Free Patch Attack on Stereo Depth Estimation
by: Liu, Hangcheng, et al.
Published: (2025)

Boosting Monocular Metric Depth Estimation via Bokeh Rendering
by: Zhang, Hangwei, et al.
Published: (2025)

Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving
by: Zhou, Ce, et al.
Published: (2024)

The Fourth Monocular Depth Estimation Challenge
by: Obukhov, Anton, et al.
Published: (2025)

The Third Monocular Depth Estimation Challenge
by: Spencer, Jaime, et al.
Published: (2024)

Scalable Autoregressive Monocular Depth Estimation
by: Wang, Jinhong, et al.
Published: (2024)

UniDepth: Universal Monocular Metric Depth Estimation
by: Piccinelli, Luigi, et al.
Published: (2024)

PhysDepth: Plug-and-Play Physical Refinement for Monocular Depth Estimation in Challenging Environments
by: Peng, Kebin, et al.
Published: (2024)

PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
by: Li, Zhenyu, et al.
Published: (2024)

Optical Lens Attack on Deep Learning Based Monocular Depth Estimation
by: Zhou, Ce, et al.
Published: (2024)

Focusable Monocular Depth Estimation
by: Du, Yuxin, et al.
Published: (2026)

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
by: Song, Ziyang, et al.
Published: (2025)

Structure-Centric Robust Monocular Depth Estimation via Knowledge Distillation
by: Chen, Runze, et al.
Published: (2024)

Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation
by: Yang, Haolin, et al.
Published: (2024)

Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation
by: Liu, Li, et al.
Published: (2024)

MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning
by: Liu, Chunpu, et al.
Published: (2024)

Flexible Physical Camouflage Generation Based on a Differential Approach
by: Li, Yang, et al.
Published: (2024)

Depth3DLane: Monocular 3D Lane Detection via Depth Prior Distillation
by: Lyu, Dongxin, et al.
Published: (2025)

Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation
by: Gao, Yanbo, et al.
Published: (2026)

DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
by: Wang, Kun, et al.
Published: (2024)

Generative Adversarial Patches for Physical Attacks on Cross-Modal Pedestrian Re-Identification
by: Su, Yue, et al.
Published: (2024)

Survey on Monocular Metric Depth Estimation
by: Zhang, Jiuling
Published: (2025)

EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer
by: Li, Yangke
Published: (2023)

DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
by: Xing, Yun, et al.
Published: (2025)

Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
by: Li, Bojian, et al.
Published: (2024)

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
by: Jing, Lihua, et al.
Published: (2024)

Adversarial Patch Attack for Ship Detection via Localized Augmentation
by: Liu, Chun, et al.
Published: (2025)

Interpretable Vision Transformers in Monocular Depth Estimation via SVDA
by: Arampatzakis, Vasileios, et al.
Published: (2026)

Multi-view Reconstruction via SfM-guided Monocular Depth Estimation
by: Guo, Haoyu, et al.
Published: (2025)

The Outline of Deception: Physical Adversarial Attacks on Traffic Signs Using Edge Patches
by: Ji, Haojie, et al.
Published: (2025)