{"total":83,"rows":[{"id":"2105.14021","title":"Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging","created":"2021-05-28","cited_by_count":104,"area":null},{"id":"2203.15132","title":"LocalBins: Improving Depth Estimation by Learning Local Distributions","created":"2022-03-28","cited_by_count":94,"area":null},{"id":"2105.11610","title":"Unsupervised Scale-consistent Depth Learning from Video","created":"2021-05-25","cited_by_count":69,"area":null},{"id":"2110.09482","title":"Self-Supervised Monocular Depth Estimation with Internal Feature Fusion","created":"2021-10-18","cited_by_count":67,"area":null},{"id":"2102.02629","title":"Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency","created":"2021-02-04","cited_by_count":58,"area":null},{"id":"2211.03660","title":"SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes","created":"2022-11-07","cited_by_count":52,"area":null},{"id":"2103.04216","title":"Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth Prediction","created":"2021-03-07","cited_by_count":48,"area":null},{"id":"2203.15174","title":"Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth","created":"2022-03-29","cited_by_count":48,"area":null},{"id":"2108.04814","title":"R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes","created":"2021-08-10","cited_by_count":36,"area":null},{"id":"2202.09277","title":"(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering","created":"2022-02-18","cited_by_count":30,"area":null},{"id":"2412.09072","title":"Cross-View Completion Models are Zero-shot Correspondence Estimators","created":"2024-12-12","cited_by_count":30,"area":null},{"id":"2304.08993","title":"Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes","created":"2023-04-18","cited_by_count":25,"area":null},{"id":"2110.06853","title":"Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation","created":"2021-10-13","cited_by_count":24,"area":null},{"id":"2206.13850","title":"When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation","created":"2022-06-28","cited_by_count":24,"area":null},{"id":"2303.04456","title":"RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes","created":"2023-03-08","cited_by_count":22,"area":null},{"id":"2309.00526","title":"SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation","created":"2023-09-01","cited_by_count":21,"area":null},{"id":"2210.00411","title":"Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem","created":"2022-10-02","cited_by_count":20,"area":null},{"id":"2310.18887","title":"Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes","created":"2023-10-29","cited_by_count":20,"area":null},{"id":"2303.03315","title":"MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision","created":"2023-03-06","cited_by_count":19,"area":null},{"id":"2303.10147","title":"CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation","created":"2023-03-17","cited_by_count":18,"area":null},{"id":"2304.03560","title":"DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium","created":"2023-04-07","cited_by_count":16,"area":null},{"id":"2308.05605","title":"Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network","created":"2023-08-10","cited_by_count":14,"area":null},{"id":"2403.09419","title":"RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes","created":"2024-03-14","cited_by_count":14,"area":null},{"id":"2211.12174","title":"The Monocular Depth Estimation Challenge","created":"2022-11-22","cited_by_count":13,"area":null},{"id":"2312.10118","title":"From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior","created":"2023-12-15","cited_by_count":13,"area":null},{"id":"2403.10662","title":"SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images","created":"2024-03-15","cited_by_count":13,"area":null},{"id":"2405.16960","title":"DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation","created":"2024-05-27","cited_by_count":13,"area":null},{"id":"2208.09170","title":"Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning","created":"2022-08-19","cited_by_count":12,"area":null},{"id":"2312.15268","title":"Manydepth2: Motion-Aware Self-Supervised Monocular Depth Estimation in Dynamic Scenes","created":"2023-12-23","cited_by_count":12,"area":null},{"id":"2112.03045","title":"3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video","created":"2021-12-06","cited_by_count":11,"area":null},{"id":"2112.01502","title":"Dimensions of Motion: Monocular Prediction through Flow Subspaces","created":"2021-12-02","cited_by_count":10,"area":null},{"id":"2210.07181","title":"MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose","created":"2022-10-13","cited_by_count":10,"area":null},{"id":"2407.14126","title":"Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation","created":"2024-07-19","cited_by_count":9,"area":null},{"id":"2110.11275","title":"Self-Supervised Monocular Scene Decomposition and Depth Estimation","created":"2021-10-21","cited_by_count":8,"area":null},{"id":"2308.07225","title":"DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume","created":"2023-08-14","cited_by_count":8,"area":null},{"id":"2309.00933","title":"Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation","created":"2023-09-02","cited_by_count":8,"area":null},{"id":"2404.12501","title":"SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation","created":"2024-04-18","cited_by_count":8,"area":null},{"id":"2111.10371","title":"ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction","created":"2021-11-19","cited_by_count":7,"area":null},{"id":"2312.01283","title":"Deeper into Self-Supervised Monocular Indoor Depth Estimation","created":"2023-12-03","cited_by_count":7,"area":null},{"id":"2403.04562","title":"Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2106.09051","title":"Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure","created":"2021-06-16","cited_by_count":6,"area":null},{"id":"2407.09303","title":"ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion","created":"2024-07-12","cited_by_count":6,"area":null},{"id":"2309.05254","title":"Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation","created":"2023-09-11","cited_by_count":4,"area":null},{"id":"2402.11507","title":"MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation","created":"2024-02-18","cited_by_count":4,"area":null},{"id":"2404.13854","title":"Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation","created":"2024-04-22","cited_by_count":4,"area":null},{"id":"2312.13066","title":"PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation","created":"2023-12-20","cited_by_count":3,"area":null},{"id":"2404.00373","title":"The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion","created":"2024-03-30","cited_by_count":3,"area":null},{"id":"2404.14908","title":"Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation","created":"2024-04-23","cited_by_count":3,"area":null},{"id":"2412.06359","title":"On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events","created":"2024-12-09","cited_by_count":3,"area":null},{"id":"2103.12496","title":"Revisiting Self-Supervised Monocular Depth Estimation","created":"2021-03-23","cited_by_count":2,"area":null},{"id":"2201.08633","title":"Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments","created":"2022-01-21","cited_by_count":2,"area":null},{"id":"2203.07162","title":"RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry","created":"2022-03-14","cited_by_count":2,"area":null},{"id":"2212.05845","title":"CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose","created":"2022-12-12","cited_by_count":2,"area":null},{"id":"2301.05871","title":"Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes","created":"2023-01-14","cited_by_count":2,"area":null},{"id":"2303.14628","title":"Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes","created":"2023-03-26","cited_by_count":2,"area":null},{"id":"2304.05218","title":"Improving Neural Radiance Fields with Depth-aware Optimization for Novel View Synthesis","created":"2023-04-11","cited_by_count":2,"area":null},{"id":"2306.05428","title":"Background Prompting for Improved Object Depth","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2309.11711","title":"MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation","created":"2023-09-21","cited_by_count":2,"area":null},{"id":"2403.19294","title":"FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation","created":"2024-03-28","cited_by_count":2,"area":null},{"id":"2405.14841","title":"MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2408.00361","title":"High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior","created":"2024-08-01","cited_by_count":2,"area":null},{"id":"2103.15970","title":"Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses","created":"2021-03-29","cited_by_count":1,"area":null},{"id":"2108.01980","title":"Self-Supervised Learning of Depth and Ego-Motion from Video by Alternative Training and Geometric Constraints from 3D to 2D","created":"2021-08-04","cited_by_count":1,"area":null},{"id":"2205.10006","title":"Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning","created":"2022-05-20","cited_by_count":1,"area":null},{"id":"2303.07662","title":"Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains","created":"2023-03-14","cited_by_count":1,"area":null},{"id":"2305.18706","title":"HQDec: Self-Supervised Monocular Depth Estimation Based on a High-Quality Decoder","created":"2023-05-30","cited_by_count":1,"area":null},{"id":"2409.10095","title":"Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference","created":"2024-09-16","cited_by_count":1,"area":null},{"id":"2604.22686","title":"SS3D: End2End Self-Supervised 3D from Web Videos","created":"2026-04-24","cited_by_count":1,"area":null},{"id":"2605.07945","title":"Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2605.08320","title":"Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2606.04925","title":"Scene-Centric Unsupervised Video Panoptic Segmentation","created":"2026-06-03","cited_by_count":1,"area":null},{"id":"2205.09821","title":"Unsupervised Learning of Depth, Camera Pose and Optical Flow from Monocular Video","created":"2022-05-19","cited_by_count":0,"area":null},{"id":"2209.00886","title":"Mapping the ocular surface from monocular videos with an application to dry eye disease grading","created":"2022-09-02","cited_by_count":0,"area":null},{"id":"2304.08916","title":"Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion","created":"2023-04-18","cited_by_count":0,"area":null},{"id":"2403.05895","title":"DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos","created":"2024-03-09","cited_by_count":0,"area":null},{"id":"2405.10885","title":"FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth Estimation","created":"2024-05-17","cited_by_count":0,"area":null},{"id":"2406.07741","title":"Back2Color: Domain-Adaptive Synthetic-to-Real Monocular Depth Estimation for Dynamic Traffic Scenes","created":"2024-06-11","cited_by_count":0,"area":null},{"id":"2411.04227","title":"PMPNet: Pixel Movement Prediction Network for Monocular Depth Estimation in Dynamic Scenes","created":"2024-11-04","cited_by_count":0,"area":null},{"id":"2511.04388","title":"BoRe-Depth: Self-supervised Monocular Depth Estimation with Boundary Refinement for Embedded Systems","created":"2025-11-06","cited_by_count":0,"area":null},{"id":"2511.20853","title":"MODEST: Multi-Optics Depth-of-Field Stereo Dataset","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2512.14536","title":"DASP: Self-supervised Nighttime Monocular Depth Estimation with Domain Adaptation of Spatiotemporal Priors","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2607.00736","title":"Towards Robust Driving Perception: A Flexible Scale-Driven Family for Self-Supervised Monocular Depth Estimation","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.02707","title":"VLRC: Vision-Language Reprojection Consistency as a scalable signal for better feed-forward 3D pretraining","created":"2026-07-02","cited_by_count":0,"area":null}],"next_cursor":null}