Self-Guided Diffusion Models-Reference-Cited by-同舟云学术

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Self-Guided Diffusion Models

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Hu Vincent Tao¹,Zhang David W.¹,Asano Yuki M.¹,Burghouts Gertjan J.²,Snoek Cees G. M.¹

Affiliation:

1. University of Amsterdam

2. TNO

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203989.pdf?arnumber=10203989

Reference72 articles.

1. Big self-supervised models are strong semi-supervised learners;chen;NeurIPS,2020

2. Localizing objects with self-supervised transformers and no labels;siméoni;BMVC,2021

3. Instance-conditioned gan;casanova;NeurIPS,2021

4. Improved techniques for training gans;salimans;NeurIPS,2016

5. PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering

Cited by 5 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. A Survey on Generative Diffusion Models;IEEE Transactions on Knowledge and Data Engineering;2024-07

2. A Survey of Multimodal Controllable Diffusion Models;Journal of Computer Science and Technology;2024-05

3. GDUI: Guided Diffusion Model for Unlabeled Images;Algorithms;2024-03-18

4. SPGAN: Siamese projection Generative Adversarial Networks;Knowledge-Based Systems;2024-02

5. Cross-modal Scalable Hyperbolic Hierarchical Clustering;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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