{"total":35,"rows":[{"id":"2203.05701","title":"6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark","created":"2022-03-11","cited_by_count":86,"area":null},{"id":"2302.13075","title":"BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects","created":"2023-02-25","cited_by_count":70,"area":null},{"id":"2403.09799","title":"BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects","created":"2024-03-14","cited_by_count":60,"area":null},{"id":"2212.10428","title":"HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios","created":"2022-12-20","cited_by_count":53,"area":null},{"id":"2205.08811","title":"PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects","created":"2022-05-18","cited_by_count":45,"area":null},{"id":"2309.08816","title":"EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding","created":"2023-09-15","cited_by_count":40,"area":null},{"id":"2405.07801","title":"Deep Learning-Based Object Pose Estimation: A Comprehensive Survey","created":"2024-05-13","cited_by_count":40,"area":null},{"id":"2103.12311","title":"SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping","created":"2021-03-23","cited_by_count":32,"area":null},{"id":"2207.02805","title":"DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation","created":"2022-07-06","cited_by_count":32,"area":null},{"id":"2305.07348","title":"A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects","created":"2023-05-12","cited_by_count":30,"area":null},{"id":"2307.12172","title":"Challenges for Monocular 6D Object Pose Estimation in Robotics","created":"2023-07-22","cited_by_count":21,"area":null},{"id":"2504.02812","title":"BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation","created":"2025-04-03","cited_by_count":19,"area":null},{"id":"2303.16382","title":"ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation","created":"2023-03-29","cited_by_count":18,"area":null},{"id":"2103.06796","title":"Unknown Object Segmentation from Stereo Images","created":"2021-03-11","cited_by_count":16,"area":null},{"id":"2209.07589","title":"PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking","created":"2022-09-15","cited_by_count":15,"area":null},{"id":"2212.02094","title":"Learning Physically Realizable Skills for Online Packing of General 3D Shapes","created":"2022-12-05","cited_by_count":12,"area":null},{"id":"2504.06866","title":"GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes","created":"2025-04-09","cited_by_count":8,"area":null},{"id":"2304.06009","title":"Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing","created":"2023-04-12","cited_by_count":5,"area":null},{"id":"2305.03815","title":"Persistent Homology Meets Object Unity: Object Recognition in Clutter","created":"2023-05-05","cited_by_count":5,"area":null},{"id":"2310.19257","title":"A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture","created":"2023-10-30","cited_by_count":4,"area":null},{"id":"2107.04852","title":"SynPick: A Dataset for Dynamic Bin Picking Scene Understanding","created":"2021-07-10","cited_by_count":3,"area":null},{"id":"2310.05346","title":"Anyview: Generalizable Indoor 3D Object Detection with Variable Frames","created":"2023-10-09","cited_by_count":3,"area":null},{"id":"2312.02985","title":"FocalPose++: Focal Length and Object Pose Estimation via Render and Compare","created":"2023-11-15","cited_by_count":3,"area":null},{"id":"2408.08234","title":"Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation","created":"2024-08-15","cited_by_count":3,"area":null},{"id":"2407.12207","title":"NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models","created":"2024-07-16","cited_by_count":2,"area":null},{"id":"2507.01463","title":"NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation","created":"2025-07-02","cited_by_count":2,"area":null},{"id":"2602.05555","title":"IndustryShapes: An RGB-D Benchmark dataset for 6D object pose estimation of industrial assembly components and tools","created":"2026-02-05","cited_by_count":2,"area":null},{"id":"2309.11170","title":"AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration","created":"2023-09-20","cited_by_count":1,"area":null},{"id":"2410.13465","title":"Object Pose Estimation Using Implicit Representation For Transparent Objects","created":"2024-10-17","cited_by_count":1,"area":null},{"id":"2604.18208","title":"Towards Symmetry-sensitive Pose Estimation: A Rotation Representation for Symmetric Object Classes","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2211.11188","title":"Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision","created":"2022-11-21","cited_by_count":0,"area":null},{"id":"2212.01920","title":"Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding","created":"2022-12-04","cited_by_count":0,"area":null},{"id":"2503.03655","title":"Improving 6D Object Pose Estimation of metallic Household and Industry Objects","created":"2025-03-05","cited_by_count":0,"area":null},{"id":"2509.09720","title":"Australian Supermarket Object Set (ASOS): A Benchmark Dataset of Physical Objects and 3D Models for Robotics and Computer Vision","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2511.09771","title":"STORM: Segment, Track, and Object Re-Localization from a Single Image","created":"2025-11-12","cited_by_count":0,"area":null}],"next_cursor":null}