{"total":39,"rows":[{"id":"2103.01100","title":"Categorical Depth Distribution Network for Monocular 3D Object Detection","created":"2021-03-01","cited_by_count":327,"area":null},{"id":"2107.14160","title":"Probabilistic and Geometric Depth: Detecting Objects in Perspective","created":"2021-07-29","cited_by_count":191,"area":null},{"id":"2104.02323","title":"Objects are Different: Flexible Monocular 3D Object Detection","created":"2021-04-06","cited_by_count":185,"area":null},{"id":"2207.10660","title":"Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild","created":"2022-07-21","cited_by_count":160,"area":null},{"id":"2107.13774","title":"Geometry Uncertainty Projection Network for Monocular 3D Object Detection","created":"2021-07-29","cited_by_count":156,"area":null},{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"area":null},{"id":"2203.10981","title":"MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer","created":"2022-03-21","cited_by_count":109,"area":null},{"id":"2203.13310","title":"MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection","created":"2022-03-24","cited_by_count":86,"area":null},{"id":"2104.03775","title":"Geometry-based Distance Decomposition for Monocular 3D Object Detection","created":"2021-04-08","cited_by_count":84,"area":null},{"id":"2403.16440","title":"RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection","created":"2024-03-25","cited_by_count":82,"area":null},{"id":"2112.04628","title":"Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection","created":"2021-12-09","cited_by_count":67,"area":null},{"id":"2103.17202","title":"GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection","created":"2021-03-31","cited_by_count":66,"area":null},{"id":"2202.02980","title":"3D Object Detection from Images for Autonomous Driving: A Survey","created":"2022-02-07","cited_by_count":66,"area":null},{"id":"2207.10758","title":"DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection","created":"2022-07-21","cited_by_count":48,"area":null},{"id":"2205.09373","title":"Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection","created":"2022-05-19","cited_by_count":46,"area":null},{"id":"2112.04764","title":"3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection","created":"2021-12-09","cited_by_count":43,"area":null},{"id":"2207.12988","title":"Monocular 3D Object Detection with Depth from Motion","created":"2022-07-26","cited_by_count":38,"area":null},{"id":"2206.07372","title":"MonoGround: Detecting Monocular 3D Objects from the Ground","created":"2022-06-15","cited_by_count":37,"area":null},{"id":"2210.09267","title":"CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection","created":"2022-10-17","cited_by_count":30,"area":null},{"id":"2206.07705","title":"LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection","created":"2022-06-15","cited_by_count":27,"area":null},{"id":"2207.10047","title":"Densely Constrained Depth Estimator for Monocular 3D Object Detection","created":"2022-07-20","cited_by_count":27,"area":null},{"id":"2208.03974","title":"Aerial Monocular 3D Object Detection","created":"2022-08-08","cited_by_count":23,"area":null},{"id":"2107.13931","title":"Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection","created":"2021-07-29","cited_by_count":20,"area":null},{"id":"2110.00464","title":"MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation","created":"2021-10-01","cited_by_count":16,"area":null},{"id":"2308.01000","title":"MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization","created":"2023-08-02","cited_by_count":14,"area":null},{"id":"2308.11607","title":"Delving into Motion-Aware Matching for Monocular 3D Object Tracking","created":"2023-08-22","cited_by_count":11,"area":null},{"id":"2409.04979","title":"RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network","created":"2024-09-08","cited_by_count":11,"area":null},{"id":"2210.16574","title":"Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision","created":"2022-10-29","cited_by_count":7,"area":null},{"id":"2301.01802","title":"MonoEdge: Monocular 3D Object Detection Using Local Perspectives","created":"2023-01-04","cited_by_count":6,"area":null},{"id":"2211.01556","title":"Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection","created":"2022-11-03","cited_by_count":5,"area":null},{"id":"2310.15624","title":"GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection","created":"2023-10-24","cited_by_count":5,"area":null},{"id":"2308.15479","title":"3D Adversarial Augmentations for Robust Out-of-Domain Predictions","created":"2023-08-29","cited_by_count":4,"area":null},{"id":"2203.02193","title":"Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection","created":"2022-03-04","cited_by_count":3,"area":null},{"id":"2207.09869","title":"A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations","created":"2022-07-20","cited_by_count":2,"area":null},{"id":"2308.00596","title":"MonoNext: A 3D Monocular Object Detection with ConvNext","created":"2023-08-01","cited_by_count":1,"area":null},{"id":"2310.05447","title":"Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection","created":"2023-10-09","cited_by_count":1,"area":null},{"id":"2404.03191","title":"CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks","created":"2024-04-04","cited_by_count":1,"area":null},{"id":"2305.17972","title":"View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection","created":"2023-05-29","cited_by_count":0,"area":null},{"id":"2503.07133","title":"A Light Perspective for 3D Object Detection","created":"2025-03-10","cited_by_count":0,"area":null}],"next_cursor":null}