G2L: A High-Dimensional Geometric Approach for Automatic Generation of Highly Accurate Pseudo-labels-Reference-Cited by-同舟云学术

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G2L: A High-Dimensional Geometric Approach for Automatic Generation of Highly Accurate Pseudo-labels

Published:2023-10-02 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Kender John R.¹,Dube Parijat²,Han Zhengyang³,Bhattacharjee Bishwaranjan²

Affiliation:

1. Columbia University

2. IBM Research

3. New York University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350841.pdf?arnumber=10350841

Reference41 articles.

1. Matching words and pictures;Barnard;J. Mach. Learn. Res.,2003

2. An Introduction to Convex Polytopes

3. Unsupervised Representation Learning Using Convolutional and Stacked Auto-Encoders: A Domain and Cross-Domain Feature Space Analysis

4. Describing Textures in the Wild

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