Copertina

Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yao, Yuanqi, Wu, Gang, Jiang, Kui, Liu, Siao, Kuai, Jian, Liu, Xianming, Jiang, Junjun
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion
di: Sun, Pihai, et al.
Pubblicazione: (2025)

Boosting All-in-One Image Restoration via Self-Improved Privilege Learning
di: Wu, Gang, et al.
Pubblicazione: (2025)

Exploiting Self-Supervised Constraints in Image Super-Resolution
di: Wu, Gang, et al.
Pubblicazione: (2024)

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
di: Wu, Gang, et al.
Pubblicazione: (2023)

Fully $1\times1$ Convolutional Network for Lightweight Image Super-Resolution
di: Wu, Gang, et al.
Pubblicazione: (2023)

UDPNet: Unleashing Depth-based Priors for Robust Image Dehazing
di: Zuo, Zengyuan, et al.
Pubblicazione: (2026)

Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather
di: Jiang, Kui, et al.
Pubblicazione: (2025)

Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation
di: Mao, Yifan, et al.
Pubblicazione: (2024)

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

DSwinIR: Rethinking Window-based Attention for Image Restoration
di: Wu, Gang, et al.
Pubblicazione: (2025)

Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration
di: Wu, Gang, et al.
Pubblicazione: (2025)

A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends
di: Jiang, Junjun, et al.
Pubblicazione: (2024)

Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach
di: Wu, Gang, et al.
Pubblicazione: (2024)

SDGE: Stereo Guided Depth Estimation for 360$^\circ$ Camera Sets
di: Xu, Jialei, et al.
Pubblicazione: (2024)

Self-supervised Event-based Monocular Depth Estimation using Cross-modal Consistency
di: Zhu, Junyu, et al.
Pubblicazione: (2024)

LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution
di: Wang, Chenyang, et al.
Pubblicazione: (2024)

DASP: Self-supervised Nighttime Monocular Depth Estimation with Domain Adaptation of Spatiotemporal Priors
di: Huang, Yiheng, et al.
Pubblicazione: (2025)

Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios
di: Xu, Jialei, et al.
Pubblicazione: (2024)

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

Adaptive Stereo Depth Estimation with Multi-Spectral Images Across All Lighting Conditions
di: Qin, Zihan, et al.
Pubblicazione: (2024)

Self-supervised Monocular Depth Estimation with Large Kernel Attention
di: Xiang, Xuezhi, et al.
Pubblicazione: (2024)

COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting
di: Zhang, Jiaxin, et al.
Pubblicazione: (2025)

SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance
di: Xiao, Yuru, et al.
Pubblicazione: (2024)

BoRe-Depth: Self-supervised Monocular Depth Estimation with Boundary Refinement for Embedded Systems
di: Liu, Chang, et al.
Pubblicazione: (2025)

OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition
di: Pan, Yuchen, et al.
Pubblicazione: (2024)

HM-Talker: Hybrid Motion Modeling for High-Fidelity Talking Head Synthesis
di: Liu, Shiyu, et al.
Pubblicazione: (2025)

FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation
di: Wang, Fei, et al.
Pubblicazione: (2024)

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

Spatial Annealing for Efficient Few-shot Neural Rendering
di: Xiao, Yuru, et al.
Pubblicazione: (2024)

MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields
di: Xiao, Yuru, et al.
Pubblicazione: (2024)

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion
di: Hu, Xingyu, et al.
Pubblicazione: (2025)

Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining
di: Yu, Zhaocheng, et al.
Pubblicazione: (2025)

Self-supervised Monocular Depth Estimation on Water Scenes via Specular Reflection Prior
di: Lu, Zhengyang, et al.
Pubblicazione: (2024)

BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation
di: Saunders, Kieran, et al.
Pubblicazione: (2024)

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

AVS-Net: Audio-Visual Scale Net for Self-supervised Monocular Metric Depth Estimation
di: Liu, Xiaohu, et al.
Pubblicazione: (2024)

VRS-UIE: Value-Driven Reordering Scanning for Underwater Image Enhancement
di: Jiang, Kui, et al.
Pubblicazione: (2025)

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
di: Dong, Yue-Jiang, et al.
Pubblicazione: (2023)

EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training
di: Shao, Liangjing, et al.
Pubblicazione: (2025)

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