Multi-directional Knowledge Transfer for Few-Shot Learning-Reference-Cited by-同舟云学术

Multi-directional Knowledge Transfer for Few-Shot Learning

Published:2022-10-10 Issue: Volume: Page:
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Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Wang Shuo¹,Zhang Xinyu¹,Hao Yanbin¹,Wang Chengbing¹,He Xiangnan²

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. University of Science and Technology of China, Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei, China

Funder

The University Synergy Innovation Program of Anhui Province

the National Natural Science Foundation of China

the National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547837

Reference56 articles.

1. Knowledge Graph Transfer Network for Few-Shot Recognition

2. Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning

3. Image Deformation Meta-Networks for One-Shot Learning

4. Lechao Cheng Zunlei Feng Xinchao Wang Ya Jie Liu Jie Lei and Mingli Song. [n. d.]. Boundary Knowledge Translation based Reference Semantic Segmentation. ([n. d.]). Lechao Cheng Zunlei Feng Xinchao Wang Ya Jie Liu Jie Lei and Mingli Song. [n. d.]. Boundary Knowledge Translation based Reference Semantic Segmentation. ([n. d.]).

5. Low-Shot Learning with Large-Scale Diffusion

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