Neural Implicit Vision-Language Feature Fields-Reference-Cited by-同舟云学术

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Neural Implicit Vision-Language Feature Fields

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Blomqvist Kenneth¹,Milano Francesco¹,Chung Jen Jen²,Ott Lionel¹,Siegwart Roland¹

Affiliation:

1. Swiss Federal Institute of Technology in Zürich,Autonomous Systems Lab,Switzerland

2. School of ITEE, The University of Queensland,Australia

Funder

EU Horizon 2020 program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342275.pdf?arnumber=10342275

Reference51 articles.

1. OpenScene: 3D Scene Understanding with Open Vocabularies

2. Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery

3. Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

4. iLabel: Revealing Objects in Neural Fields

5. Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clio: Real-Time Task-Driven Open-Set 3D Scene Graphs;IEEE Robotics and Automation Letters;2024-10

2. FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding;International Journal of Computer Vision;2024-08-12

3. Panoptic Vision-Language Feature Fields;IEEE Robotics and Automation Letters;2024-03

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