mlsanityData to 14 Oct 2026

ePose: Let's Make EfficientPose More Generally Applicable

arXiv 2111.15114 ↗First posted 30 Nov 2021cs.CV cs.LGcited by 0

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Abstract (arXiv)

EfficientPose is an impressive 3D object detection model. It has been demonstrated to be quick, scalable, and accurate, especially when considering that it uses only RGB inputs. In this paper we try to improve on EfficientPose by giving it the ability to infer an object's size, and by simplifying both the data collection and loss calculations. We evaluated ePose using the Linemod dataset and a new subset of it called "Occlusion 1-class". We also outline our current progress and thoughts about using ePose with the NuScenes and the 2017 KITTI 3D Object Detection datasets. The source code is available at https://github.com/tbd-clip/EfficientPose.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 21 references that are in the map. First posted on arXiv 30 Nov 2021.

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13 of 21 references.

References · 13

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  2. 2019nuScenes: A multimodal dataset for autonomous drivingcited by 4,523
  3. 2018YOLOv3: An Incremental Improvementcited by 2,659
  4. 2018Group Normalizationcited by 1,524
  5. 2019EfficientDet: Scalable and Efficient Object Detectioncited by 1,020
  6. 2018Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Drivingcited by 457
  7. 20163D Bounding Box Estimation Using Deep Learning and Geometrycited by 278
  8. 2017Real-Time Seamless Single Shot 6D Object Pose Predictioncited by 210
  9. 2019Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstructioncited by 106
  10. 2018Explaining the Ambiguity of Object Detection and 6D Pose From Visual Datacited by 68
  11. 2020EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approachcited by 46
  12. 2020BirdNet+: End-to-End 3D Object Detection in LiDAR Bird's Eye Viewcited by 19
1 more
  1. 2019PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Pointscited by 16

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