{"total":19,"rows":[{"id":"2104.14540","title":"The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth","created":"2021-04-29","cited_by_count":190,"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":"2204.07616","title":"Multi-Frame Self-Supervised Depth with Transformers","created":"2022-04-15","cited_by_count":64,"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":"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":"2303.03315","title":"MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision","created":"2023-03-06","cited_by_count":19,"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":"2308.07225","title":"DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume","created":"2023-08-14","cited_by_count":8,"area":null},{"id":"2404.12501","title":"SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation","created":"2024-04-18","cited_by_count":8,"area":null},{"id":"2406.10068","title":"DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving Applications","created":"2024-06-14","cited_by_count":8,"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":"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":"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":"2604.06576","title":"LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation","created":"2026-04-08","cited_by_count":3,"area":null},{"id":"2106.04007","title":"On the Coupling of Depth and Egomotion Networks for Self-Supervised Structure from Motion","created":"2021-06-07","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":"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":"2508.00900","title":"Sparse 3D Perception for Rose Harvesting Robots: A Two-Stage Approach Bridging Simulation and Real-World Applications","created":"2025-07-28","cited_by_count":0,"area":null}],"next_cursor":null}