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PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
v1v2v3 (latest)

PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning

AAAI Conference on Artificial Intelligence (AAAI), 2020
20 December 2020
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
Chang Xu
ArXiv (abs)PDFHTML

Papers citing "PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning"

9 / 9 papers shown
Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
Semantic-Anchored, Class Variance-Optimized Clustering for Robust Semi-Supervised Few-Shot Learning
Rhythm Baghel
Souvik Maji
Pratik Mazumder
443
0
0
24 Jan 2025
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Hui Xiong
VLMViT
506
11
0
05 Oct 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot
  Action Recognition
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action RecognitionPattern Recognition (Pattern Recogn.), 2023
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Zhe Zuo
Changxin Gao
Rong Jin
Nong Sang
273
40
0
09 Jan 2023
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
455
2
0
26 Nov 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
451
25
0
15 Mar 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular
  Mutual Information
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual InformationInternational Conference on Machine Learning (ICML), 2022
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
194
6
0
30 Jan 2022
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
A Strong Baseline for Semi-Supervised Incremental Few-Shot LearningBritish Machine Vision Conference (BMVC), 2021
Linlan Zhao
Dashan Guo
Yunlu Xu
Liang Qiao
Zhanzhan Cheng
Shiliang Pu
Yi Niu
Xi Fang
CLL
329
3
0
21 Oct 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of
  Recent Developments
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent DevelopmentsPattern Recognition (Pattern Recogn.), 2021
Xiaoxu Li
Xiaochen Yang
Zhanyu Ma
Jing-Hao Xue
VLM
349
181
0
17 May 2021
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learningIEEE International Conference on Computer Vision (ICCV), 2020
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
480
80
0
14 Dec 2020
1
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