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

31 / 31 papers shown
Title
PREMISE: Matching-based Prediction for Accurate Review Recommendation
PREMISE: Matching-based Prediction for Accurate Review Recommendation
Wei Han
Hui Chen
Soujanya Poria
29
0
0
02 May 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 Mechanisms
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
67
3
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
30
1
0
24 May 2024
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learning
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
13
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
33
0
0
13 Apr 2023
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
Yanjun Qi
Han Sun
Ningzhong Liu
Huiyu Zhou
19
7
0
22 Oct 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot
  Classification
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification
Yunqing Zhao
Ngai-man Cheung
BDL
14
12
0
23 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 Modulation
Hegui Zhu
Zhan Gao
Jiayi Wang
Yangqiaoyu Zhou
Chengqing Li
11
6
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
26
2
0
29 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
36
342
0
13 May 2022
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot Classification
Jingyi Xu
Hieu M. Le
VLM
9
61
0
05 May 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
29
61
0
31 Jan 2022
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
19
45
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
33
30
0
01 Dec 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
33
20
0
30 Oct 2021
Binocular Mutual Learning for Improving Few-shot Classification
Binocular Mutual Learning for Improving Few-shot Classification
Ziqi Zhou
Xi Qiu
Jiangtao Xie
Jianan Wu
Chi Zhang
SSL
13
76
0
27 Aug 2021
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot Classification
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
26
185
0
22 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 Encoding
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
25
8
0
06 Aug 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
34
86
0
16 Jul 2021
Tensor feature hallucination for few-shot learning
Tensor feature hallucination for few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
21
22
0
09 Jun 2021
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image
  Classification
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Xiaoxu Li
Jijie Wu
Z. Sun
Zhanyu Ma
Jie Cao
Jing-Hao Xue
11
124
0
29 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
11
70
0
24 Nov 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning
Fast Few-Shot Classification by Few-Iteration Meta-Learning
A. S. Tripathi
Martin Danelljan
Luc Van Gool
Radu Timofte
21
6
0
01 Oct 2020
Cooperative Bi-path Metric for Few-shot Learning
Cooperative Bi-path Metric for Few-shot Learning
Zeyuan Wang
Yifan Zhao
Jia Li
Yonghong Tian
11
35
0
10 Aug 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta Learning
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
21
3
0
17 Jul 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
21
3
0
23 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
11
192
0
28 May 2020
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
11
92
0
06 Jul 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
17
400
0
12 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
17
59
0
07 Jun 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
252
11,677
0
09 Mar 2017
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