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Cross-Domain Few-Shot Learning with Meta Fine-Tuning

Cross-Domain Few-Shot Learning with Meta Fine-Tuning

21 May 2020
J. Cai
S. Shen
ArXivPDFHTML

Papers citing "Cross-Domain Few-Shot Learning with Meta Fine-Tuning"

12 / 12 papers shown
Title
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot
  Learning
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning
Siyang Jiang
Rui Fang
Hsi-Wen Chen
Wei Ding
Ming-Syan Chen
21
1
0
05 Sep 2023
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
Yuzhong Chen
Zhe Xiao
Lin Zhao
Lu Zhang
Haixing Dai
...
Tuo Zhang
Changying Li
Dajiang Zhu
Tianming Liu
Xi Jiang
44
18
0
20 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
BDL
38
21
0
15 Dec 2021
Anomaly Crossing: New Horizons for Video Anomaly Detection as
  Cross-domain Few-shot Learning
Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning
Guangyu Sun
Zhangpu Liu
Lianggong Wen
Jing Shi
Chenliang Xu
25
3
0
12 Dec 2021
Domain Agnostic Few-Shot Learning For Document Intelligence
Domain Agnostic Few-Shot Learning For Document Intelligence
J. Mandivarapu
Eric Hunch
G. Fung
OOD
VLM
28
1
0
29 Oct 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot
  Classification Benchmark
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark
Vincent Dumoulin
N. Houlsby
Utku Evci
Xiaohua Zhai
Ross Goroshin
Sylvain Gelly
Hugo Larochelle
27
26
0
06 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiaoyu Lin
Meng Ye
Yunye Gong
G. Buracas
Nikoletta Basiou
Ajay Divakaran
Yi Yao
26
4
0
01 Apr 2021
BOIL: Towards Representation Change for Few-shot Learning
BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh
Hyungjun Yoo
ChangHwan Kim
Seyoung Yun
16
9
0
20 Aug 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Jiamei Sun
Sebastian Lapuschkin
Wojciech Samek
Yunqing Zhao
Ngai-man Cheung
Alexander Binder
20
87
0
17 Jul 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
347
11,684
0
09 Mar 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
1