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Ranking Distance Calibration for Cross-Domain Few-Shot Learning
v1v2 (latest)

Ranking Distance Calibration for Cross-Domain Few-Shot Learning

1 December 2021
Pan Li
S. Gong
Chengjie Wang
Yanwei Fu
ArXiv (abs)PDFHTML

Papers citing "Ranking Distance Calibration for Cross-Domain Few-Shot Learning"

22 / 22 papers shown
Title
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
128
14
0
15 Mar 2023
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-Xiong Wang
José M. F. Moura
76
29
0
20 Sep 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in
  Knowledge Distillation
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
Taehyeon Kim
Jaehoon Oh
Nakyil Kim
Sangwook Cho
Se-Young Yun
55
237
0
19 May 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Haoqing Wang
Zhihong Deng
101
123
0
29 Apr 2021
Maximum-Entropy Adversarial Data Augmentation for Improved
  Generalization and Robustness
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
Long Zhao
Ting Liu
Xi Peng
Dimitris N. Metaxas
OODAAML
103
169
0
15 Oct 2020
Self-training for Few-shot Transfer Across Extreme Task Differences
Self-training for Few-shot Transfer Across Extreme Task Differences
Cheng Perng Phoo
B. Hariharan
SSL
126
108
0
15 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
Günter Klambauer
Sepp Hochreiter
OOD
81
45
0
13 Oct 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
72
89
0
17 Jul 2020
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
101
127
0
21 Jun 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping Huang
Winston H. Hsu
75
14
0
19 May 2020
Feature Transformation Ensemble Model with Batch Spectral Regularization
  for Cross-Domain Few-Shot Classification
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification
Bingyu Liu
Z. Zhao
Zhenpeng Li
Jianan Jiang
Yuhong Guo
Jieping Ye
74
32
0
18 May 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
77
394
0
23 Jan 2020
TapNet: Neural Network Augmented with Task-Adaptive Projection for
  Few-Shot Learning
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon
Jun Seo
Jaekyun Moon
69
275
0
16 May 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
116
1,770
0
08 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan Oseledets
Victor Lempitsky
89
295
0
03 Apr 2019
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
124
786
0
30 May 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
314
4,054
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
178
1,240
0
10 Nov 2017
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
835
11,961
0
09 Mar 2017
Re-ranking Person Re-identification with k-reciprocal Encoding
Re-ranking Person Re-identification with k-reciprocal Encoding
Zhun Zhong
Liang Zheng
Donglin Cao
Shaozi Li
136
1,505
0
29 Jan 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
380
7,343
0
13 Jun 2016
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network
Junshi Huang
Rogerio Feris
Qiang Chen
Shuicheng Yan
70
414
0
29 May 2015
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