{"total":39,"rows":[{"id":"2210.10716","title":"CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion","created":"2022-10-19","cited_by_count":160,"area":null},{"id":"2208.03543","title":"MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer","created":"2022-08-06","cited_by_count":136,"area":null},{"id":"2105.11610","title":"Unsupervised Scale-consistent Depth Learning from Video","created":"2021-05-25","cited_by_count":69,"area":null},{"id":"2112.13047","title":"Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation","created":"2021-12-24","cited_by_count":63,"area":null},{"id":"2108.03830","title":"Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark","created":"2021-08-09","cited_by_count":58,"area":null},{"id":"2106.02778","title":"Radar-Camera Pixel Depth Association for Depth Completion","created":"2021-06-05","cited_by_count":50,"area":null},{"id":"2112.08177","title":"Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry","created":"2021-12-15","cited_by_count":46,"area":null},{"id":"2206.08927","title":"DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning","created":"2022-06-17","cited_by_count":25,"area":null},{"id":"2210.16674","title":"Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking","created":"2022-10-29","cited_by_count":19,"area":null},{"id":"2308.12372","title":"Vision Transformer Adapters for Generalizable Multitask Learning","created":"2023-08-23","cited_by_count":14,"area":null},{"id":"2109.09628","title":"Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR","created":"2021-09-20","cited_by_count":13,"area":null},{"id":"2112.06782","title":"GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network","created":"2021-12-13","cited_by_count":12,"area":null},{"id":"2211.13551","title":"SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks","created":"2022-11-24","cited_by_count":10,"area":null},{"id":"2301.06715","title":"SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network","created":"2023-01-17","cited_by_count":10,"area":null},{"id":"2302.09789","title":"Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement","created":"2023-02-20","cited_by_count":10,"area":null},{"id":"2105.02195","title":"Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes","created":"2021-05-05","cited_by_count":8,"area":null},{"id":"2110.03575","title":"Estimating Image Depth in the Comics Domain","created":"2021-10-07","cited_by_count":8,"area":null},{"id":"2205.01656","title":"GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping","created":"2022-05-03","cited_by_count":8,"area":null},{"id":"2302.09922","title":"Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision","created":"2023-02-20","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":"2106.03505","title":"Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos","created":"2021-06-07","cited_by_count":7,"area":null},{"id":"2108.05615","title":"DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes","created":"2021-08-12","cited_by_count":5,"area":null},{"id":"2203.00809","title":"Instance-aware multi-object self-supervision for monocular depth prediction","created":"2022-03-02","cited_by_count":5,"area":null},{"id":"2112.08635","title":"Road-aware Monocular Structure from Motion and Homography Estimation","created":"2021-12-16","cited_by_count":3,"area":null},{"id":"2206.07435","title":"Forecasting of depth and ego-motion with transformers and self-supervision","created":"2022-06-15","cited_by_count":3,"area":null},{"id":"2103.00853","title":"ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation","created":"2021-03-01","cited_by_count":2,"area":null},{"id":"2205.08089","title":"Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder","created":"2022-05-17","cited_by_count":2,"area":null},{"id":"2105.12186","title":"Self-Guided Instance-Aware Network for Depth Completion and Enhancement","created":"2021-05-25","cited_by_count":1,"area":null},{"id":"2403.12431","title":"Geometric Constraints in Deep Learning Frameworks: A Survey","created":"2024-03-19","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":"2111.04310","title":"Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation","created":"2021-11-08","cited_by_count":0,"area":null},{"id":"2112.13925","title":"Improving Depth Estimation using Location Information","created":"2021-12-27","cited_by_count":0,"area":null},{"id":"2202.08991","title":"Joint Learning of Frequency and Spatial Domains for Dense Predictions","created":"2022-02-18","cited_by_count":0,"area":null},{"id":"2212.01768","title":"3D Object Aided Self-Supervised Monocular Depth Estimation","created":"2022-12-04","cited_by_count":0,"area":null},{"id":"2301.02092","title":"DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax","created":"2023-01-05","cited_by_count":0,"area":null},{"id":"2306.11822","title":"Self-supervised Multi-task Learning Framework for Safety and Health-Oriented Connected Driving Environment Perception using Onboard Camera","created":"2023-06-20","cited_by_count":0,"area":null},{"id":"2310.17156","title":"Learning depth from monocular video sequences","created":"2023-10-26","cited_by_count":0,"area":null},{"id":"2311.05878","title":"Central Angle Optimization for 360-degree Holographic 3D Content","created":"2023-11-10","cited_by_count":0,"area":null},{"id":"2411.17790","title":"Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors","created":"2024-11-26","cited_by_count":0,"area":null}],"next_cursor":null}