Optical Flow Boosts Unsupervised Localization and Segmentation-Reference-Cited by-同舟云学术

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Optical Flow Boosts Unsupervised Localization and Segmentation

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

Author:

Zhang Xinyu¹,Boularias Abdeslam¹

Affiliation:

1. Rutgers University,Department of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342195.pdf?arnumber=10342195

Reference69 articles.

1. Core knowledge

2. Unsupervised learning of object key-points for perception and control;Kulkarni;Advances in neural information processing systems,2019

3. Masked Autoencoders Are Scalable Vision Learners

4. Learning transferable visual models from natural language supervision;Radford,2021

5. Deepusps: Deep robust unsupervised saliency prediction via self-supervision;Nguyen;Advances in Neural Information Processing Systems,2019

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. Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey;International Journal of Computer Vision;2024-08-20

2. Motion perception-driven multimodal self-supervised video object segmentation;The Visual Computer;2024-08-09

3. Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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