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Memory-Augmented Relation Network for Few-Shot Learning
v1v2 (latest)

Memory-Augmented Relation Network for Few-Shot Learning

9 May 2020
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Zhengjun Zha
Meng Wang
ArXiv (abs)PDFHTML

Papers citing "Memory-Augmented Relation Network for Few-Shot Learning"

6 / 6 papers shown
Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring
Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring
X. Tu
Haocheng Zhang
Tao Chengxu
Zuyi Chen
AI4TS
321
0
0
16 Jun 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
Chao Liang
Linchao Zhu
Zongxin Yang
Wei Chen
Yi Yang
NoLa
300
1
0
05 Jan 2025
Meta-learning approaches for few-shot learning: A survey of recent
  advances
Meta-learning approaches for few-shot learning: A survey of recent advancesACM Computing Surveys (ACM Comput. Surv.), 2023
Hassan Gharoun
Fereshteh Momenifar
Fang Chen
Amir H. Gandomi
OODVLM
333
166
0
13 Mar 2023
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing
Semantic-Based Few-Shot Learning by Interactive Psychometric Testing
Lu Yin
Vlado Menkovski
Yulong Pei
Mykola Pechenizkiy
248
1
0
16 Dec 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation
Few-shot Learning with Global Relatedness Decoupled-Distillation
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Zhen junzha
Meng Wang
358
1
0
12 Jul 2021
Revisiting Local Descriptor for Improved Few-Shot Classification
Revisiting Local Descriptor for Improved Few-Shot Classification
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Qianru Sun
333
35
0
30 Mar 2021
1
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