[2006.11275] Center-based 3D Object Detection and Tracking

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status Get status notifications via email or slack

[2006.11275] Center-based 3D Object Detection and Tracking Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Computer Vision and Pattern Recognition arXiv:2006.11275 (cs) [Submitted on 19 Jun 2020 ( v1 ), last revised 6 Jan 2021 (this version, v2)] Title: Center-based 3D Object Detection and Tracking Authors: Tianwei Yin , Xingyi Zhou , Philipp Krähenbühl View a PDF of the paper titled Center-based 3D Object Detection and Tracking, by Tianwei Yin and 2 other authors View PDF Abstract

related reading

• Enhancing 3D Object Detection with 2D Detection-Guided Query Anchorsarxiv.org
• Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes from 2D Ones in RGB-Depth Imagescis.temple.edu
• Learning 3D object-centric representation through predictionarxiv.org
• GitHub - xingyizhou/ExtremeNet: Bottom-up Object Detection by Grouping Extreme and Center Pointsgithub.com
• [1711.06396] VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detectionarxiv.org
• [2310.08586] PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigmarxiv.org
• 3D-Aware Ellipse Prediction for Object-Based Camera Pose Estimationarxiv.org
• 3D Object Detection via 2D Segmentation-Based Computational Integral Imaging Applied to a Real Videoncbi.nlm.nih.gov
• ReferIt3D Benchmarksreferit3d.github.io
• ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenesecva.net
• Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxesvirtualhumans.mpi-inf.mpg.de
• Reference for ultralytics/trackers/bot_sort.py | Ultralytics Docsdocs.ultralytics.com