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How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?

How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?

28 January 2025
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
    SSL
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Papers citing "How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?"

5 / 5 papers shown
Title
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
36
1
0
21 Apr 2023
A Survey of Deep Visual Cross-Domain Few-Shot Learning
A Survey of Deep Visual Cross-Domain Few-Shot Learning
Wenjian Wang
Lijuan Duan
Yuxi Wang
Junsong Fan
Zhi Gong
Zhaoxiang Zhang
19
5
0
16 Mar 2023
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
208
322
0
16 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
240
3,367
0
09 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
278
11,677
0
09 Mar 2017
1