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Dense Classification and Implanting for Few-Shot Learning

Dense Classification and Implanting for Few-Shot Learning

12 March 2019
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
Andrei Bursuc
    VLM
ArXiv (abs)PDFHTML

Papers citing "Dense Classification and Implanting for Few-Shot Learning"

50 / 96 papers shown
Title
A$^2$M$^2$-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action Recognition
A2^22M2^22-Net: Adaptively Aligned Multi-Scale Moment for Few-Shot Action RecognitionInternational Journal of Computer Vision (IJCV), 2025
Zilin Gao
Qilong Wang
Bingbing Zhang
Q. Hu
P. Li
92
0
0
22 Sep 2025
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Subhajit Maity
A. Bhunia
Subhadeep Koley
Pinaki Nath Chowdhury
Aneeshan Sain
Yi-Zhe Song
358
0
0
10 Jul 2025
Reliable Few-shot Learning under Dual Noises
Reliable Few-shot Learning under Dual NoisesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Ji Zhang
Jingkuan Song
Lianli Gao
Andrii Zadaianchuk
Heng Tao Shen
NoLa
253
7
0
19 Jun 2025
PREMISE: Matching-based Prediction for Accurate Review Recommendation
PREMISE: Matching-based Prediction for Accurate Review RecommendationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Wei Han
Hui Chen
Soujanya Poria
195
0
0
02 May 2025
Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks
Dual-level Mixup for Graph Few-shot Learning with Fewer TasksThe Web Conference (WWW), 2025
Yuqi Liu
Mengyu Li
Fausto Giunchiglia
Lan Huang
Ximing Li
Xiaoyue Feng
Renchu Guan
164
2
0
21 Feb 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention MechanismsNeural Networks (NN), 2024
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
410
13
0
17 Jan 2025
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot
  Molecular Property Prediction
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
Zeyu Wang
Tianyi Jiang
Yao Lu
Xiaoze Bao
Shanqing Yu
Bin Wei
Qi Xuan
185
2
0
24 May 2024
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond
  Examples
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond ExamplesNeural Information Processing Systems (NeurIPS), 2023
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
171
5
0
09 Nov 2023
From Global to Local: Multi-scale Out-of-distribution Detection
From Global to Local: Multi-scale Out-of-distribution DetectionIEEE Transactions on Image Processing (IEEE TIP), 2023
Ji Zhang
Lianli Gao
Bingguang Hao
Hao Huang
Jingkuan Song
Jikang Cheng
OODD
112
23
0
20 Aug 2023
Recent Advances of Local Mechanisms in Computer Vision: A Survey and
  Outlook of Recent Work
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work
Qiangchang Wang
Yilong Yin
256
1
0
02 Jun 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
178
6
0
27 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
Rethinking matching-based few-shot action recognition
Rethinking matching-based few-shot action recognitionScandinavian Conference on Image Analysis (SCIA), 2023
Juliette Bertrand
Yannis Kalantidis
Giorgos Tolias
137
1
0
28 Mar 2023
DETA: Denoised Task Adaptation for Few-Shot Learning
DETA: Denoised Task Adaptation for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2023
Ji Zhang
Lianli Gao
Xu Luo
Hengtao Shen
Jingkuan Song
VLM
290
27
0
11 Mar 2023
The Expressive Power of Tuning Only the Normalization Layers
The Expressive Power of Tuning Only the Normalization LayersAnnual Conference Computational Learning Theory (COLT), 2023
Angeliki Giannou
Shashank Rajput
Dimitris Papailiopoulos
134
11
0
15 Feb 2023
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast
  and Accurate Inference on Missing Modality Sequences
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality SequencesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Wei Han
Hui Chen
MingSung Kan
Soujanya Poria
167
15
0
23 Oct 2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
A Task-aware Dual Similarity Network for Fine-grained Few-shot LearningPacific Rim International Conference on Artificial Intelligence (PRICAI), 2022
Yanjun Qi
Han Sun
Ningzhong Liu
Huiyu Zhou
198
9
0
22 Oct 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers
  for Few-Shot Classification
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification
Xixi Wang
Tianlin Li
Bo Jiang
Bin Luo
235
54
0
26 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot
  Classification
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot ClassificationIEEE Transactions on Image Processing (IEEE TIP), 2022
Yunqing Zhao
Ngai-Man Cheung
BDL
213
17
0
23 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
139
1
0
20 Aug 2022
Few-shot Fine-grained Image Classification via Multi-Frequency
  Neighborhood and Double-cross Modulation
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross ModulationIEEE transactions on multimedia (IEEE TMM), 2022
Hegui Zhu
Zhan Gao
Jiayi Wang
Yangqiaoyu Zhou
Chengqing Li
246
21
0
18 Jul 2022
Teach me how to Interpolate a Myriad of Embeddings
Teach me how to Interpolate a Myriad of Embeddings
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
192
2
0
29 Jun 2022
Uncertainty-based Network for Few-shot Image Classification
Uncertainty-based Network for Few-shot Image ClassificationIEEE International Conference on Multimedia and Expo (ICME), 2022
Minglei Yuan
Qian Xu
Chunhao Cai
Yin-Dong Zheng
Tao Wang
Tong Lu
UQCV
186
3
0
17 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 OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
272
533
0
13 May 2022
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot ClassificationComputer Vision and Pattern Recognition (CVPR), 2022
Aoxiang Fan
Hieu M. Le
VLM
196
87
0
05 May 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
206
90
0
02 Apr 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
272
24
0
15 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
Understanding AdamW through Proximal Methods and Scale-Freeness
Understanding AdamW through Proximal Methods and Scale-Freeness
Zhenxun Zhuang
Mingrui Liu
Ashok Cutkosky
Francesco Orabona
217
99
0
31 Jan 2022
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Bingbin Li
E. Cui
Yanan Li
Donghui Wang
Weng Kee Wong
147
1
0
23 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma
Pengfei Fang
Tom Drummond
Mehrtash Harandi
156
50
0
03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
Shuai Shao
Lei Xing
Rui Xu
Weifeng Liu
Yanjiang Wang
Baodi Liu
390
32
0
01 Dec 2021
Learning Online for Unified Segmentation and Tracking Models
Learning Online for Unified Segmentation and Tracking ModelsIEEE International Joint Conference on Neural Network (IJCNN), 2021
Tianyu Zhu
Rongkai Ma
Mehrtash Harandi
Tom Drummond
103
4
0
12 Nov 2021
Few-shot learning with improved local representations via bias rectify
  module
Few-shot learning with improved local representations via bias rectify moduleIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Chao Dong
Qi Ye
Wenchao Meng
Kaixiang Yang
63
2
0
01 Nov 2021
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric
  Learning
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
Miao Zhang
Miaojing Shi
Li Li
VLM
366
32
0
30 Oct 2021
Domain Agnostic Few-Shot Learning For Document Intelligence
Domain Agnostic Few-Shot Learning For Document Intelligence
J. Mandivarapu
Eric Hunch
G. Fung
OODVLM
222
1
0
29 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning
Self-Denoising Neural Networks for Few Shot Learning
S. Schwarcz
Sai Saketh Rambhatla
Ramalingam Chellappa
110
1
0
26 Oct 2021
Towards A Conceptually Simple Defensive Approach for Few-shot
  classifiers Against Adversarial Support Samples
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Y. Tan
Penny Chong
Jiamei Sun
Ngai-Man Cheung
Yuval Elovici
Alexander Binder
AAML
133
0
0
24 Oct 2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable
  Modules
Decomposing Convolutional Neural Networks into Reusable and Replaceable ModulesInternational Conference on Software Engineering (ICSE), 2021
Rangeet Pan
Hridesh Rajan
MoMe
119
36
0
11 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-Xiong Wang
258
13
0
06 Oct 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
134
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
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot ClassificationIEEE International Conference on Computer Vision (ICCV), 2021
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
202
235
0
22 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold
Transductive Few-Shot Classification on the Oblique ManifoldIEEE International Conference on Computer Vision (ICCV), 2021
Guodong Qi
Huimin Yu
Zhaohui Lu
Shuzhao Li
158
50
0
09 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse
  Similarity Encoding
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity EncodingACM Multimedia (ACM MM), 2021
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
91
11
0
06 Aug 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
323
100
0
16 Jul 2021
Trainable Class Prototypes for Few-Shot Learning
Trainable Class Prototypes for Few-Shot Learning
Jianyi Li
Guizhong Liu
VLM
153
2
0
21 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot
  Classification
Learning to Affiliate: Mutual Centralized Learning for Few-shot ClassificationComputer Vision and Pattern Recognition (CVPR), 2021
Yang Liu
Weifeng Zhang
Chao Xiang
Tu Zheng
Deng Cai
Xiaofei He
FedML
164
62
0
10 Jun 2021
Tensor feature hallucination for few-shot learning
Tensor feature hallucination for few-shot learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
191
24
0
09 Jun 2021
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning
Aligning Visual Prototypes with BERT Embeddings for Few-Shot LearningInternational Conference on Multimedia Retrieval (ICMR), 2021
Kun Yan
Zied Bouraoui
Ping Wang
Shoaib Jameel
Steven Schockaert
116
31
0
21 May 2021
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