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Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
27 October 2018
Hang Gao
Zheng Shou
Alireza Zareian
Hanwang Zhang
Shih-Fu Chang
GAN
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Papers citing
"Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks"
49 / 49 papers shown
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Subhajit Maity
A. Bhunia
Subhadeep Koley
Pinaki Nath Chowdhury
Aneeshan Sain
Yi-Zhe Song
436
0
0
10 Jul 2025
Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary Enhancement
International Conference on Multimedia Retrieval (ICMR), 2025
Yunhan Ren
Feng Luo
Siyu Huang
283
0
0
20 Jun 2025
FLIER: Few-shot Language Image Models Embedded with Latent Representations
Zhinuo Zhou
Peng Zhou
Xiaoyong Pan
VLM
159
1
0
10 Oct 2024
Dense Vision Transformer Compression with Few Samples
Hanxiao Zhang
Yifan Zhou
Guo-Hua Wang
Jianxin Wu
ViT
VLM
242
10
0
27 Mar 2024
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Tianxu Wu
Shuo Ye
Shuhuang Chen
Qinmu Peng
Xinge You
DiffM
260
6
0
15 Sep 2023
Approximating Human-Like Few-shot Learning with GPT-based Compression
C.-Y. Huang
Yuqing Xie
Zhiying Jiang
Jimmy J. Lin
Ming Li
178
13
0
14 Aug 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
Computer Vision and Pattern Recognition (CVPR), 2023
Zhongzhi Yu
Shang Wu
Y. Fu
Shunyao Zhang
Yingyan Lin
366
9
0
25 Apr 2023
Dynamic Flows on Curved Space Generated by Labeled Data
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Xinru Hua
Truyen V. Nguyen
Tam Le
Jose H. Blanchet
Viet Anh Nguyen
325
9
0
31 Jan 2023
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification
Oben Özgür
Arwa Rekik
I. Rekik
MedIm
222
1
0
14 Dec 2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Zhong Yuan
Zhenkun Wang
Genghui Li
OOD
223
1
0
05 Dec 2022
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yiqiao Jin
Xiting Wang
Y. Hao
Luke Huan
Xing Xie
218
14
0
24 Nov 2022
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta
European Conference on Computer Vision (ECCV), 2020
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
GAN
230
37
0
21 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
International Conference on Machine Learning (ICML), 2022
Jianyi Yang
Shaolei Ren
199
3
0
02 Jul 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Neural Information Processing Systems (NeurIPS), 2022
Zhiying Jiang
Yi-Zhu Dai
Ji Xin
Ming Li
Jimmy J. Lin
209
5
0
23 Jun 2022
Metric Based Few-Shot Graph Classification
LOG IN (LOG IN), 2022
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
229
6
0
08 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
379
590
0
13 May 2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
GAN
155
19
0
22 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
271
97
0
02 Apr 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples
Neurocomputing (Neurocomputing), 2022
Orhun Bugra Baran
Ramazan Gokberk Cinbics
260
5
0
09 Jan 2022
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Bingbin Li
E. Cui
Yanan Li
Donghui Wang
Weng Kee Wong
197
1
0
23 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification
Jing Xu
Xinglin Pan
Xu Luo
Wenjie Pei
Zenglin Xu
147
5
0
14 Dec 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Fengyuan Yang
Ruiping Wang
Xilin Chen
VLM
177
41
0
08 Nov 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation
Chaofei Wang
Qing Xiao
Qisen Yang
Xiang Li
Gao Huang
259
30
0
13 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant Analysis
International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Zejiang Hou
S. Kung
103
1
0
07 Sep 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
289
27
0
11 Jun 2021
Hallucination Improves Few-Shot Object Detection
Computer Vision and Pattern Recognition (CVPR), 2021
Weilin Zhang
Yu-Xiong Wang
ObjD
216
123
0
04 May 2021
Free Lunch for Few-shot Learning: Distribution Calibration
International Conference on Learning Representations (ICLR), 2021
Shuo Yang
Lu Liu
Min Xu
OODD
679
370
0
16 Jan 2021
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
174
5
0
26 Dec 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
IEEE International Conference on Computer Vision (ICCV), 2020
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
324
89
0
24 Nov 2020
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning
Jianyi Yang
Shaolei Ren
FAtt
FaML
205
5
0
17 Nov 2020
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
ACM Multimedia (ACM MM), 2020
Yuqian Fu
Li Zhang
Junke Wang
Yanwei Fu
Yu-Gang Jiang
207
114
0
20 Oct 2020
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
263
50
0
13 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
Aoxiang Fan
Hieu M. Le
Mingzhen Huang
ShahRukh Athar
Dimitris Samaras
DRL
255
72
0
07 Oct 2020
A Survey on Machine Learning from Few Samples
Pattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
329
78
0
06 Sep 2020
Few-Shot Learning with Intra-Class Knowledge Transfer
Vivek Roy
Yan Xu
Yu-Xiong Wang
Kris Kitani
Ruslan Salakhutdinov
M. Hebert
VLM
151
4
0
22 Aug 2020
DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials
A. Rabbani
M. Babaei
R. Shams
Ying Da Wang
Traiwit Chung
AI4CE
171
85
0
03 May 2020
On the Generalization Effects of Linear Transformations in Data Augmentation
International Conference on Machine Learning (ICML), 2020
Sen Wu
Hongyang R. Zhang
Gregory Valiant
Christopher Ré
303
87
0
02 May 2020
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation
Tiexin Qin
Wenbin Li
Yinghuan Shi
Yang Gao
136
18
0
13 Apr 2020
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies
Zhe Li
Chunhua Sun
Chunli Liu
Xiayu Chen
Meng Wang
Yezheng Liu
110
5
0
07 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Jianhong Zhang
Manli Zhang
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
153
18
0
28 Feb 2020
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
Computer Vision and Pattern Recognition (CVPR), 2020
Jialun Liu
Yifan Sun
Chuchu Han
Zhaopeng Dou
Wenhui Li
363
231
0
25 Feb 2020
Associative Alignment for Few-shot Image Classification
European Conference on Computer Vision (ECCV), 2019
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
230
167
0
11 Dec 2019
A Two-Stage Approach to Few-Shot Learning for Image Recognition
IEEE Transactions on Image Processing (TIP), 2019
Debasmit Das
C. S. George Lee
218
137
0
10 Dec 2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Neural Information Processing Systems (NeurIPS), 2019
Satoshi Tsutsui
Yanwei Fu
David J. Crandall
226
42
0
17 Nov 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
International Journal of Computer Vision (IJCV), 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
290
65
0
07 Jun 2019
Image Deformation Meta-Networks for One-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2019
Z. Chen
Yanwei Fu
Yu-Xiong Wang
Lin Ma
Wei Liu
M. Hebert
183
244
0
28 May 2019
Billion-scale semi-supervised learning for image classification
I. Z. Yalniz
Edouard Grave
Kan Chen
Manohar Paluri
D. Mahajan
SSL
370
479
0
02 May 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
558
2,008
0
10 Apr 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout
Heda Song
M. Torres
Ender Ozcan
I. Triguero
114
7
0
08 Apr 2019
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