Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data-Reference-Cited by-同舟云学术

Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
Short-container-title:

Author:

Jia Xuhui¹,Han Kai¹,Zhu Yukun¹,Green Bradley¹

Affiliation:

1. Google

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711157.pdf?arnumber=9711157

Reference54 articles.

1. On the importance of initialization and momentum in deep learning;sutskever;ICML,2013

2. Semi-Supervised Learning with Scarce Annotations

3. Audio-visual instance discrimination with cross-modal agreement;morgado,2020

4. Some methods for classification and analysis of multivariate observations;macqueen;Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability,1967

5. Temporal ensembling for semi-supervised learning;laine;ICLRE,2017

Cited by 31 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. Multi-modal data clustering using deep learning: A systematic review;Neurocomputing;2024-11

2. Intrinsic structure exploitation with dual alignment for universal visual recognition;Knowledge-Based Systems;2024-09

3. Novel Class Discovery Meets Foundation Models for 3D Semantic Segmentation;International Journal of Computer Vision;2024-08-07

4. SoftmaxU: Open softmax to be aware of unknowns;Engineering Applications of Artificial Intelligence;2024-07

5. Novel Category Discovery Across Domains with Contrastive Learning and Adaptive Classifier;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30