InterRep: A Visual Interaction Representation for Robotic Grasping-Reference-Cited by-同舟云学术

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InterRep: A Visual Interaction Representation for Robotic Grasping

Published:2024-05-13 Issue: Volume:24 Page:6448-6454
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Cui Yu¹,Ye Qi¹,Liu Qingtao¹,Chen Anjun¹,Li Gaofeng¹,Chen Jiming¹

Affiliation:

1. Zhejiang University,College of Control Science and Engineering,Hangzhou,China,310027

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610870.pdf?arnumber=10610870

Reference35 articles.

1. A simple framework for contrastive learning of visual representations;Chen

2. Momentum Contrast for Unsupervised Visual Representation Learning

3. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin,2018

4. Palm: Scaling language modeling with pathways;Chowdhery;Journal of Machine Learning Research,2023

5. R3m: A universal visual representation for robot manipulation;Nair

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