:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Suryanto, Naufal, Adiputra, Andro Aprila, Kadiptya, Ahmada Yusril, Kim, Yongsu, Kim, Howon
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2408.14879
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications via Diffusion-Based Image Editing
di: Suryanto, Naufal, et al.
Pubblicazione: (2024)

CIPHER: Cybersecurity Intelligent Penetration-testing Helper for Ethical Researcher
di: Pratama, Derry, et al.
Pubblicazione: (2024)

Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches
di: Zhao, Chenxing, et al.
Pubblicazione: (2024)

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

Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation
di: Ma, Sanggyun, et al.
Pubblicazione: (2025)

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

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

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

Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric Fusion
di: Liu, Jiangyuan, et al.
Pubblicazione: (2025)

PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistency
di: Han, Leezy, et al.
Pubblicazione: (2026)

On the Viability of Monocular Depth Pre-training for Semantic Segmentation
di: Lao, Dong, et al.
Pubblicazione: (2022)

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
di: Tosi, Fabio, et al.
Pubblicazione: (2024)

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

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

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

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

SPARROW: Learning Spatial Precision and Temporal Referential Consistency in Pixel-Grounded Video MLLMs
di: Alansari, Mohamad, et al.
Pubblicazione: (2026)

TIE-KD: Teacher-Independent and Explainable Knowledge Distillation for Monocular Depth Estimation
di: Choi, Sangwon, et al.
Pubblicazione: (2024)

UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
di: Um, Tae-Wook, et al.
Pubblicazione: (2025)

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

Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
di: Landgraf, Steven, et al.
Pubblicazione: (2024)

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

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

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

SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images
di: Taghavi, Pardis, et al.
Pubblicazione: (2024)

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

SPACE-CLIP: Spatial Perception via Adaptive CLIP Embeddings for Monocular Depth Estimation
di: Cho, Taewan, et al.
Pubblicazione: (2026)

Visual Autoregressive Modelling for Monocular Depth Estimation
di: El-Ghoussani, Amir, et al.
Pubblicazione: (2025)

Robust Monocular Depth Estimation under Challenging Conditions
di: Gasperini, Stefano, et al.
Pubblicazione: (2023)

Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency
di: Ka, Woonghyun, et al.
Pubblicazione: (2024)

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

One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images
di: Kwon, Byeongjun, et al.
Pubblicazione: (2025)

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

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

Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
di: Maag, Kira, et al.
Pubblicazione: (2023)

Survey on Monocular Metric Depth Estimation
di: Zhang, Jiuling
Pubblicazione: (2025)

Scalable Autoregressive Monocular Depth Estimation
di: Wang, Jinhong, et al.
Pubblicazione: (2024)

Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization
di: Daimo, Renya, et al.
Pubblicazione: (2020)

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

A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation
di: Landgraf, Steven, et al.
Pubblicazione: (2024)