MambaDepth: Enhancing Long-range Dependency for Self-Supervised Fine-Structured Monocular Depth Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Grigore, Ionuţ, Popa, Călin-Adrian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FPC-Net: Revisiting SuperPoint with Descriptor-Free Keypoint Detection via Feature Pyramids and Consistency-Based Implicit Matching
by: Grigore, Ionuţ, et al.
Published: (2025)
by: Grigore, Ionuţ, et al.
Published: (2025)
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
by: Nguyen, Hoang Chuong, et al.
Published: (2024)
by: Nguyen, Hoang Chuong, et al.
Published: (2024)
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
by: Dong, Yue-Jiang, et al.
Published: (2023)
by: Dong, Yue-Jiang, et al.
Published: (2023)
UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
by: Um, Tae-Wook, et al.
Published: (2025)
by: Um, Tae-Wook, et al.
Published: (2025)
FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation
by: Sun, Yiyang, et al.
Published: (2024)
by: Sun, Yiyang, et al.
Published: (2024)
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation
by: Hoven, Max van den, et al.
Published: (2025)
by: Hoven, Max van den, et al.
Published: (2025)
Tree-Mamba: A Tree-Aware Mamba for Underwater Monocular Depth Estimation
by: Zhuang, Peixian, et al.
Published: (2025)
by: Zhuang, Peixian, et al.
Published: (2025)
On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation
by: Zhao, Haimei, et al.
Published: (2022)
by: Zhao, Haimei, et al.
Published: (2022)
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
by: Talker, Lior, et al.
Published: (2022)
by: Talker, Lior, et al.
Published: (2022)
High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior
by: Han, Wencheng, et al.
Published: (2024)
by: Han, Wencheng, et al.
Published: (2024)
Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation
by: Yang, Haolin, et al.
Published: (2024)
by: Yang, Haolin, et al.
Published: (2024)
MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning
by: Liu, Chunpu, et al.
Published: (2024)
by: Liu, Chunpu, et al.
Published: (2024)
DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination
by: Ou, Mingyang, et al.
Published: (2025)
by: Ou, Mingyang, et al.
Published: (2025)
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion
by: Woo, Sungmin, et al.
Published: (2024)
by: Woo, Sungmin, et al.
Published: (2024)
FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Adaptive Depth-converted-Scale Convolution for Self-supervised Monocular Depth Estimation
by: Gao, Yanbo, et al.
Published: (2026)
by: Gao, Yanbo, et al.
Published: (2026)
Occlusion-Aware Self-Supervised Monocular Depth Estimation for Weak-Texture Endoscopic Images
by: Huang, Zebo, et al.
Published: (2025)
by: Huang, Zebo, et al.
Published: (2025)
Multi-Modal Monocular Endoscopic Depth and Pose Estimation with Edge-Guided Self-Supervision
by: Ju, Xinwei, et al.
Published: (2026)
by: Ju, Xinwei, et al.
Published: (2026)
Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes
by: Zhou, Kaichen, et al.
Published: (2023)
by: Zhou, Kaichen, et al.
Published: (2023)
LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment
by: Long, Jiahuan, et al.
Published: (2025)
by: Long, Jiahuan, et al.
Published: (2025)
UniDepth: Universal Monocular Metric Depth Estimation
by: Piccinelli, Luigi, et al.
Published: (2024)
by: Piccinelli, Luigi, et al.
Published: (2024)
BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation
by: Saunders, Kieran, et al.
Published: (2024)
by: Saunders, Kieran, et al.
Published: (2024)
In Depth We Trust: Reliable Monocular Depth Supervision for Gaussian Splatting
by: Xiao, Wenhui, et al.
Published: (2026)
by: Xiao, Wenhui, et al.
Published: (2026)
EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation
by: Khanal, Nischal, et al.
Published: (2024)
by: Khanal, Nischal, et al.
Published: (2024)
PromptMono: Cross Prompting Attention for Self-Supervised Monocular Depth Estimation in Challenging Environments
by: Wang, Changhao, et al.
Published: (2025)
by: Wang, Changhao, et al.
Published: (2025)
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation
by: Boya, Wang, et al.
Published: (2023)
by: Boya, Wang, et al.
Published: (2023)
DepthART: Monocular Depth Estimation as Autoregressive Refinement Task
by: Gabdullin, Bulat, et al.
Published: (2024)
by: Gabdullin, Bulat, et al.
Published: (2024)
DepthFM: Fast Monocular Depth Estimation with Flow Matching
by: Gui, Ming, et al.
Published: (2024)
by: Gui, Ming, et al.
Published: (2024)
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
by: Song, Ziyang, et al.
Published: (2025)
by: Song, Ziyang, et al.
Published: (2025)
Self-supervised Monocular Depth Estimation with Large Kernel Attention
by: Xiang, Xuezhi, et al.
Published: (2024)
by: Xiang, Xuezhi, et al.
Published: (2024)
The Third Monocular Depth Estimation Challenge
by: Spencer, Jaime, et al.
Published: (2024)
by: Spencer, Jaime, et al.
Published: (2024)
Scalable Autoregressive Monocular Depth Estimation
by: Wang, Jinhong, et al.
Published: (2024)
by: Wang, Jinhong, et al.
Published: (2024)
Survey on Monocular Metric Depth Estimation
by: Zhang, Jiuling
Published: (2025)
by: Zhang, Jiuling
Published: (2025)
The Fourth Monocular Depth Estimation Challenge
by: Obukhov, Anton, et al.
Published: (2025)
by: Obukhov, Anton, et al.
Published: (2025)
THIRDEYE: Cue-Aware Monocular Depth Estimation via Brain-Inspired Multi-Stage Fusion
by: Ioan, Calin Teodor
Published: (2025)
by: Ioan, Calin Teodor
Published: (2025)
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
by: Quercia, Alessio, et al.
Published: (2025)
by: Quercia, Alessio, et al.
Published: (2025)
PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistency
by: Han, Leezy, et al.
Published: (2026)
by: Han, Leezy, et al.
Published: (2026)
BoRe-Depth: Self-supervised Monocular Depth Estimation with Boundary Refinement for Embedded Systems
by: Liu, Chang, et al.
Published: (2025)
by: Liu, Chang, et al.
Published: (2025)
Language-Based Depth Hints for Monocular Depth Estimation
by: Auty, Dylan, et al.
Published: (2024)
by: Auty, Dylan, et al.
Published: (2024)
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation
by: Wang, Ning-Hsu, et al.
Published: (2024)
by: Wang, Ning-Hsu, et al.
Published: (2024)
Similar Items
-
FPC-Net: Revisiting SuperPoint with Descriptor-Free Keypoint Detection via Feature Pyramids and Consistency-Based Implicit Matching
by: Grigore, Ionuţ, et al.
Published: (2025) -
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
by: Nguyen, Hoang Chuong, et al.
Published: (2024) -
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
by: Dong, Yue-Jiang, et al.
Published: (2023) -
UM-Depth : Uncertainty Masked Self-Supervised Monocular Depth Estimation with Visual Odometry
by: Um, Tae-Wook, et al.
Published: (2025) -
FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation
by: Sun, Yiyang, et al.
Published: (2024)