3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment-Reference-Cited by-同舟云学术

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3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment

Published:2023-10-01 Issue: Volume:33 Page:2899-2909
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Zhu Ziyu¹,Ma Xiaojian²,Chen Yixin²,Deng Zhidong¹,Huang Siyuan²,Li Qing²

Affiliation:

1. Tsinghua University

2. National Key Laboratory of General Artificial Intelligence,BIGAI,China

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377115.pdf?arnumber=10377115

Reference56 articles.

1. ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes

2. Flamingo: a visual language model for few-shot learning;Alayrac,2022

3. ScanQA: 3D Question Answering for Spatial Scene Understanding

4. Look around and refer: 2d synthetic semantics knowledge distillation for 3d visual grounding;Bakr

5. Do as i can, not as i say: Grounding language in robotic affordances;Brohan

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. ViewInfer3D: 3D Visual Grounding Based on Embodied Viewpoint Inference;IEEE Robotics and Automation Letters;2024-09

2. Comprehensive survey on 3D visual-language understanding techniques;Journal of Image and Graphics;2024

3. JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTA;Lecture Notes in Computer Science;2024

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