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Fine-Grained Visual Categorization using Meta-Learning Optimization with
  Sample Selection of Auxiliary Data

Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data

28 July 2018
Yabin Zhang
Hui Tang
Kui Jia
ArXivPDFHTML

Papers citing "Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data"

20 / 20 papers shown
Title
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection
  for Semi-supervised Fine-Grained Learning
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
35
4
0
19 Dec 2023
Analysis and Applications of Deep Learning with Finite Samples in Full
  Life-Cycle Intelligence of Nuclear Power Generation
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation
Chenwei Tang
Wenqiang Zhou
Dong Wang
Caiyang Yu
Zhenan He
...
Shudong Huang
Yi Gao
Jianming Chen
Wentao Feng
Jiancheng Lv
AI4CE
30
0
0
07 Nov 2023
AGI for Agriculture
AGI for Agriculture
Guoyu Lu
Sheng Li
Gengchen Mai
Jin Sun
Dajiang Zhu
...
R. Xu
Daniel Petti
Changying Li
Tianming Liu
Changying Li
AI4CE
48
17
0
12 Apr 2023
Learning to Recover Spectral Reflectance from RGB Images
Learning to Recover Spectral Reflectance from RGB Images
Dong Huo
Jian Wang
Yiming Qian
Yee-Hong Yang
21
0
0
04 Apr 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che
Si Chen
Haoxing Chen
38
16
0
27 Mar 2023
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
32
13
0
15 Mar 2023
Few-shot Object Detection with Refined Contrastive Learning
Few-shot Object Detection with Refined Contrastive Learning
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
25
7
0
24 Nov 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization
  and Sampling Complexity
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Jianyi Yang
Shaolei Ren
32
3
0
02 Jul 2022
Guided Deep Metric Learning
Guided Deep Metric Learning
Jorge Gonzalez-Zapata
Iván Reyes-Amezcua
Daniel Flores-Araiza
M. Mendez-Ruiz
G. Ochoa-Ruiz
Andres Mendez-Vazquez
FedML
26
5
0
04 Jun 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
MetAug: Contrastive Learning via Meta Feature Augmentation
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li
Jingyao Wang
Changwen Zheng
Bing-Huang Su
Hui Xiong
22
23
0
10 Mar 2022
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge J. Belongie
74
279
0
11 Nov 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi
Feng Liu
Wenjing Yang
L. Lan
Tongliang Liu
Bo Han
William Cheung
James T. Kwok
35
27
0
11 Jun 2021
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang
Ke Chen
Kui Jia
CML
OOD
19
269
0
19 Mar 2020
Locality and compositionality in zero-shot learning
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
21
56
0
20 Dec 2019
Discriminative Adversarial Domain Adaptation
Discriminative Adversarial Domain Adaptation
Hui Tang
Kui Jia
OOD
22
194
0
27 Nov 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu
Yuwei Li
Lihua Guo
Kui Jia
26
86
0
10 Sep 2019
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
341
11,684
0
09 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
94
233
0
28 Feb 2017
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng-Wei Zhang
158
789
0
24 Nov 2014
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