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Boosting Few-Shot Learning with Disentangled Self-Supervised Learning
  and Meta-Learning for Medical Image Classification

Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification

26 March 2024
Eva Pachetti
Sotirios A. Tsaftaris
Sara Colantonio
ArXivPDFHTML

Papers citing "Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification"

5 / 5 papers shown
Title
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui
Tongzi Wu
Jesse C. Cresswell
Yi Sui
Keyvan Golestan
52
0
0
12 Mar 2025
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI
Gianluca Carloni
Eva Pachetti
Sara Colantonio
CML
32
9
0
19 Sep 2023
Few-Shot Classification with Contrastive Learning
Few-Shot Classification with Contrastive Learning
Zhanyuan Yang
Jinghua Wang
Ying J. Zhu
OODD
MQ
40
54
0
17 Sep 2022
Disentangled Feature Representation for Few-shot Image Classification
Disentangled Feature Representation for Few-shot Image Classification
Hao Cheng
Yufei Wang
Haoliang Li
Alex C. Kot
B. Wen
36
26
0
26 Sep 2021
Learning to Decompose and Disentangle Representations for Video
  Prediction
Learning to Decompose and Disentangle Representations for Video Prediction
Jun-Ting Hsieh
Bingbin Liu
De-An Huang
Li Fei-Fei
Juan Carlos Niebles
DRL
124
302
0
11 Jun 2018
1