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Associative Alignment for Few-shot Image Classification
v1v2v3 (latest)

Associative Alignment for Few-shot Image Classification

European Conference on Computer Vision (ECCV), 2019
11 December 2019
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
    VLM
ArXiv (abs)PDFHTML

Papers citing "Associative Alignment for Few-shot Image Classification"

50 / 63 papers shown
Title
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net
G. Lee
Tanmoy Dam
Md Meftahul Ferdaus
Daniel Puiu Poenar
Vu N. Duong
101
0
0
21 Oct 2025
Rethinking the Sample Relations for Few-Shot Classification
Rethinking the Sample Relations for Few-Shot ClassificationImage and Vision Computing (IVC), 2025
Guowei Yin
Sheng Huang
Luwen Huangfu
Yi Zhang
Xiaohong Zhang
VLM
206
1
0
23 Jan 2025
Unleash the Power of Local Representations for Few-Shot Classification
Unleash the Power of Local Representations for Few-Shot Classification
Shi Tang
Guiming Luo
Xinchen Ye
Zhiyi Xia
206
1
0
02 Jul 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
336
1
0
05 Jun 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision
  and Text
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
Yuyu Jia
Qing Zhou
Wei Huang
Junyu Gao
Qi. Wang
VLM
214
2
0
21 May 2024
Intra-task Mutual Attention based Vision Transformer for Few-Shot
  Learning
Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning
Weihao Jiang
Yu Xie
Kun He
ViT
258
1
0
06 May 2024
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel
  Manifolds
FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds
H. Tabealhojeh
S. Roy
Peyman Adibi
Hossein Karshenas
177
0
0
28 Feb 2024
GeNIe: Generative Hard Negative Images Through Diffusion
GeNIe: Generative Hard Negative Images Through Diffusion
Soroush Abbasi Koohpayegani
Anuj Singh
K. Navaneet
Hadi Jamali Rad
Hamed Pirsiavash
VLMDiffM
286
6
0
05 Dec 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual
  Categorization in Few-Shot Conditions
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot ConditionsIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Tianxu Wu
Shuo Ye
Shuhuang Chen
Qinmu Peng
Xinge You
DiffM
200
6
0
15 Sep 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification
Task-Oriented Channel Attention for Fine-Grained Few-Shot ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Subeen Lee
WonJun Moon
Hyun Seok Seong
Jae-Pil Heo
185
5
0
28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable
  Kendall's Rank Correlation
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationNeural Information Processing Systems (NeurIPS), 2023
Kai Zheng
Huishuai Zhang
Weiran Huang
163
12
0
28 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained
  Language Models?
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Zihao Jiang
Yunkai Dang
Dong Pang
Huishuai Zhang
Weiran Huang
VLM
201
3
0
09 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification
LPN: Language-guided Prototypical Network for few-shot classification
Kaihui Cheng
Chule Yang
Xiao Liu
Naiyang Guan
Zhiyuan Wang
312
1
0
04 Jul 2023
Few-shot Classification via Ensemble Learning with Multi-Order
  Statistics
Few-shot Classification via Ensemble Learning with Multi-Order StatisticsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Sai Yang
Fan Liu
Delong Chen
Jun Zhou
130
9
0
30 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
167
0
0
13 Apr 2023
Learning Expressive Prompting With Residuals for Vision Transformers
Learning Expressive Prompting With Residuals for Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2023
Rajshekhar Das
Yonatan Dukler
Avinash Ravichandran
A. Swaminathan
VLMVPVLM
148
29
0
27 Mar 2023
Semantic Prompt for Few-Shot Image Recognition
Semantic Prompt for Few-Shot Image RecognitionComputer Vision and Pattern Recognition (CVPR), 2023
Wentao Chen
Chenyang Si
Zhang Zhang
Liangdao Wang
Zilei Wang
Tien-Ping Tan
VLM
172
61
0
24 Mar 2023
Gestalt-Guided Image Understanding for Few-Shot Learning
Gestalt-Guided Image Understanding for Few-Shot LearningAsian Conference on Computer Vision (ACCV), 2023
Kun Song
Yuchen Wu
Jiansheng Chen
Tianyu Hu
Huimin Ma
177
0
0
08 Feb 2023
Cap2Aug: Caption guided Image to Image data Augmentation
Cap2Aug: Caption guided Image to Image data Augmentation
Aniket Roy
Anshul B. Shah
Ketul Shah
Anirban Roy
Rama Chellappa
DiffM
215
0
0
11 Dec 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
PatchMix Augmentation to Identify Causal Features in Few-shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
150
24
0
29 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning
tSF: Transformer-based Semantic Filter for Few-Shot LearningEuropean Conference on Computer Vision (ECCV), 2022
Jinxiang Lai
Siqian Yang
Wenlong Liu
Yi Zeng
Zhongyi Huang
Wenlong Wu
Jun Liu
Bin-Bin Gao
Chengjie Wang
VLM
107
20
0
02 Nov 2022
BaseTransformers: Attention over base data-points for One Shot Learning
BaseTransformers: Attention over base data-points for One Shot LearningBritish Machine Vision Conference (BMVC), 2022
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
160
4
0
05 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression
  and Foreground Alignment
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
Zican Zha
Hao Tang
Yunlian Sun
Jinhui Tang
232
116
0
04 Oct 2022
A Study on Representation Transfer for Few-Shot Learning
A Study on Representation Transfer for Few-Shot Learning
Chun-Nam Yu
Yi Xie
SSL
109
2
0
05 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDLVLM
248
18
0
22 Aug 2022
Learning Primitive-aware Discriminative Representations for Few-shot
  Learning
Learning Primitive-aware Discriminative Representations for Few-shot LearningInternational Conference on Neural Information Processing (ICONIP), 2022
Jianpeng Yang
Yuhang Niu
Xuemei Xie
G. Shi
155
1
0
20 Aug 2022
Self-Supervision Can Be a Good Few-Shot Learner
Self-Supervision Can Be a Good Few-Shot LearnerEuropean Conference on Computer Vision (ECCV), 2022
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
200
49
0
19 Jul 2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain
  Few-Shot Facial Expression Recognition
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression RecognitionEuropean Conference on Computer Vision (ECCV), 2022
Xinyi Zou
Y. Yan
Jing-Hao Xue
Si Chen
Hanzi Wang
CVBM
205
17
0
16 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification
Task Discrepancy Maximization for Fine-grained Few-Shot ClassificationComputer Vision and Pattern Recognition (CVPR), 2022
Subeen Lee
WonJun Moon
Jae-Pil Heo
157
69
0
04 Jul 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for
  Few-Shot Classification
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot ClassificationComputer Vision and Pattern Recognition (CVPR), 2022
Jiangtao Xie
Fei Long
Jiaming Lv
Qilong Wang
P. Li
205
221
0
09 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Matching Feature Sets for Few-Shot Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2022
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
214
91
0
02 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot
  Classification
CAD: Co-Adapting Discriminative Features for Improved Few-Shot ClassificationComputer Vision and Pattern Recognition (CVPR), 2022
Philip Chikontwe
Soopil Kim
Sang Hyun Park
155
35
0
25 Mar 2022
Self-Promoted Supervision for Few-Shot Transformer
Self-Promoted Supervision for Few-Shot TransformerEuropean Conference on Computer Vision (ECCV), 2022
Bowen Dong
Pan Zhou
Shuicheng Yan
W. Zuo
ViT
129
50
0
14 Mar 2022
Worst Case Matters for Few-Shot Recognition
Worst Case Matters for Few-Shot RecognitionEuropean Conference on Computer Vision (ECCV), 2022
Minghao Fu
Yunhao Cao
Jianxin Wu
164
8
0
13 Mar 2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and
  Alternate Learning Framework
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning FrameworkAAAI Conference on Artificial Intelligence (AAAI), 2022
Xinyi Zou
Y. Yan
Jing-Hao Xue
Si Chen
Hanzi Wang
152
20
0
18 Jan 2022
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D ReconstructionAAAI Conference on Artificial Intelligence (AAAI), 2021
Ta-Ying Cheng
Hsuan-ru Yang
Niki Trigoni
Hwann-Tzong Chen
Tyng-Luh Liu
106
9
0
23 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu
Sen He
Yi-Zhe Song
Tao Xiang
88
70
0
13 Dec 2021
Label Hallucination for Few-Shot Classification
Label Hallucination for Few-Shot ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2021
Yiren Jian
Lorenzo Torresani
202
45
0
06 Dec 2021
Few-Shot Object Detection via Association and DIscrimination
Few-Shot Object Detection via Association and DIscrimination
Yuhang Cao
Yuan Liu
Ying Jin
Tong Wu
Kai-xiang Chen
Ziwei Liu
Dahua Lin
ObjD
150
99
0
23 Nov 2021
Gaussian Process Meta Few-shot Classifier Learning via Linear
  Discriminant Laplace Approximation
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation
Minyoung Kim
Timothy M. Hospedales
BDL
197
5
0
09 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot
  Learning
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Fengyuan Yang
Ruiping Wang
Xilin Chen
VLM
147
40
0
08 Nov 2021
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
136
33
0
20 Sep 2021
Partner-Assisted Learning for Few-Shot Image Classification
Partner-Assisted Learning for Few-Shot Image Classification
Jiawei Ma
Hanchen Xie
G. Han
Shih-Fu Chang
Aram Galstyan
Wael AbdAlmageed
VLM
168
76
0
15 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification
Binocular Mutual Learning for Improving Few-shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Ziqi Zhou
Xi Qiu
Jiangtao Xie
Jianan Wu
Fangqiu Yi
SSL
142
90
0
27 Aug 2021
Learning Class-level Prototypes for Few-shot Learning
Learning Class-level Prototypes for Few-shot Learning
Minglei Yuan
Wenhai Wang
Tao Wang
Chunhao Cai
Qian Xu
Tong Lu
VLM
111
3
0
25 Aug 2021
Prototype Completion for Few-Shot Learning
Prototype Completion for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
VLM
323
26
0
11 Aug 2021
Improving the Generalization of Meta-learning on Unseen Domains via
  Adversarial Shift
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift
Pinzhuo Tian
Yao Gao
OOD
156
1
0
23 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2021
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
331
100
0
16 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification
How to Train Your MAML to Excel in Few-Shot ClassificationInternational Conference on Learning Representations (ICLR), 2021
Han-Jia Ye
Wei-Lun Chao
186
57
0
30 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose
Contextualizing Meta-Learning via Learning to Decompose
Han-Jia Ye
Da-Wei Zhou
Lanqing Hong
Zhenguo Li
Xiu-Shen Wei
De-Chuan Zhan
189
9
0
15 Jun 2021
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