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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"

46 / 96 papers shown
Few-Shot Video Object Detection
Few-Shot Video Object DetectionEuropean Conference on Computer Vision (ECCV), 2021
Qi Fan
Chi-Keung Tang
Yu-Wing Tai
363
15
0
30 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification
Revisiting Local Descriptor for Improved Few-Shot Classification
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Qianru Sun
271
32
0
30 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Learning Dynamic Alignment via Meta-filter for Few-shot LearningComputer Vision and Pattern Recognition (CVPR), 2021
C. Xu
Chen Liu
Li Zhang
Chengjie Wang
Jilin Li
Feiyue Huang
Xiangyang Xue
Yanwei Fu
199
125
0
25 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor
  Neural Network
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural NetworkAAAI Conference on Artificial Intelligence (AAAI), 2021
Yang Liu
Tu Zheng
Mingli Song
Deng Cai
Xiaofei He
230
26
0
15 Mar 2021
Local Propagation for Few-Shot Learning
Local Propagation for Few-Shot LearningInternational Conference on Pattern Recognition (ICPR), 2021
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
205
10
0
05 Jan 2021
Detection of Adversarial Supports in Few-shot Classifiers Using
  Self-Similarity and Filtering
Detection of Adversarial Supports in Few-shot Classifiers Using Self-Similarity and Filtering
Y. Tan
Penny Chong
Jiamei Sun
Ngai-Man Cheung
Yuval Elovici
Alexander Binder
164
1
0
09 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels
Fine-grained Angular Contrastive Learning with Coarse Labels
Guy Bukchin
Eli Schwartz
Kate Saenko
Ori Shahar
Rogerio Feris
Raja Giryes
Leonid Karlinsky
386
62
0
07 Dec 2020
Batch Group Normalization
Batch Group Normalization
Xiao-Yun Zhou
Jiacheng Sun
Nanyang Ye
Xu Lan
Qijun Luo
Bolin Lai
P. Esperança
Guang-Zhong Yang
Zhenguo Li
260
19
0
04 Dec 2020
ReMP: Rectified Metric Propagation for Few-Shot Learning
ReMP: Rectified Metric Propagation for Few-Shot Learning
Yang Zhao
Chunyuan Li
Ping Yu
Changyou Chen
252
7
0
02 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of
  Few-Shot Tasks
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Han-Jia Ye
Lu Han
De-Chuan Zhan
OffRLSSLVLM
194
36
0
30 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image
  Classification
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image ClassificationIEEE Transactions on Image Processing (TIP), 2020
Xiaoxu Li
Jijie Wu
Z. Sun
Zhanyu Ma
Jie Cao
Jing-Hao Xue
129
161
0
29 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2020
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
319
88
0
24 Nov 2020
Zero-shot Relation Classification from Side Information
Zero-shot Relation Classification from Side InformationInternational Conference on Information and Knowledge Management (CIKM), 2020
Jiaying Gong
Hoda Eldardiry
206
22
0
13 Nov 2020
Restoring Negative Information in Few-Shot Object Detection
Restoring Negative Information in Few-Shot Object Detection
Yukuan Yang
Fangyun Wei
Miaojing Shi
Guoqi Li
ObjD
237
71
0
22 Oct 2020
Few-shot Action Recognition with Implicit Temporal Alignment and Pair
  Similarity Optimization
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization
Congqi Cao
Yajuan Li
Qinyi Lv
Peng Wang
Yanning Zhang
135
32
0
13 Oct 2020
Variational Feature Disentangling for Fine-Grained Few-Shot
  Classification
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
Aoxiang Fan
Hieu M. Le
Mingzhen Huang
ShahRukh Athar
Dimitris Samaras
DRL
251
71
0
07 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning
Fast Few-Shot Classification by Few-Iteration Meta-LearningIEEE International Conference on Robotics and Automation (ICRA), 2020
A. S. Tripathi
Martin Danelljan
Luc Van Gool
Radu Timofte
182
6
0
01 Oct 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few SamplesPattern Recognition (Pattern Recognit.), 2020
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
322
78
0
06 Sep 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Few-Shot Image Classification via Contrastive Self-Supervised Learning
Jianyi Li
Guizhong Liu
VLMSSLMQ
113
15
0
23 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer
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
Cooperative Bi-path Metric for Few-shot Learning
Cooperative Bi-path Metric for Few-shot LearningACM Multimedia (ACM MM), 2020
Zeyuan Wang
Yifan Zhao
Jia Li
Yonghong Tian
141
38
0
10 Aug 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
505
384
0
22 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning
Contextualizing Enhances Gradient Based Meta LearningIEEE Conference on High Performance Extreme Computing (HPEC), 2020
Evan Vogelbaum
Rumen Dangovski
L. Jing
Marin Soljacic
199
3
0
17 Jul 2020
Top-Related Meta-Learning Method for Few-Shot Object Detection
Top-Related Meta-Learning Method for Few-Shot Object Detection
Qian Li
Nan Guo
Xiaochun Ye
Duo Wang
Xiaochun Ye
Zhimin Tang
ObjDVLM
193
0
0
14 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Learn Faster and Forget Slower via Fast and Stable Task Adaptation
Farshid Varno
Lucas May Petry
Lisa Di-Jorio
Stan Matwin
CLL
285
2
0
02 Jul 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary
  Task
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task
Pratik Mazumder
Pravendra Singh
Vinay P. Namboodiri
252
9
0
29 Jun 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
172
3
0
23 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin LossComputer Vision and Pattern Recognition (CVPR), 2020
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
251
217
0
28 May 2020
Looking back to lower-level information in few-shot learning
Looking back to lower-level information in few-shot learning
Zhongjie Yu
S. Raschka
185
5
0
27 May 2020
Bridging the gap between Natural and Medical Images through Deep
  Colorization
Bridging the gap between Natural and Medical Images through Deep Colorization
Lia Morra
Luca Piano
Fabrizio Lamberti
Tatiana Tommasi
MedIm
191
17
0
21 May 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for
  Few-Shot Learning
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot LearningNeural Networks (NN), 2020
Jinhwan Seo
Hong G Jung
Seong-Whan Lee
SSL
223
42
0
01 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning
DPGN: Distribution Propagation Graph Network for Few-shot LearningComputer Vision and Pattern Recognition (CVPR), 2020
Ling Yang
Liang Li
Zilun Zhang
Xinyu Zhou
Erjin Zhou
Yu Liu
229
228
0
31 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
Selecting Relevant Features from a Multi-domain Representation for Few-shot ClassificationEuropean Conference on Computer Vision (ECCV), 2020
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
380
24
0
20 Mar 2020
CAFENet: Class-Agnostic Few-Shot Edge Detection Network
CAFENet: Class-Agnostic Few-Shot Edge Detection NetworkBritish Machine Vision Conference (BMVC), 2020
Younghyun Park
Jun Seo
Jaekyun Moon
110
1
0
18 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection
StarNet: towards Weakly Supervised Few-Shot Object Detection
Leonid Karlinsky
J. Shtok
Amit Alfassy
M. Lichtenstein
Sivan Harary
...
Sivan Doveh
P. Sattigeri
Rogerio Feris
A. Bronstein
Raja Giryes
269
6
0
15 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Chi Zhang
Yujun Cai
Guosheng Lin
Chunhua Shen
VLM
433
155
0
15 Mar 2020
Meta-Learned Confidence for Few-shot Learning
Meta-Learned Confidence for Few-shot Learning
Seong Min Kye
Haebeom Lee
Hoirin Kim
Sung Ju Hwang
194
23
0
27 Feb 2020
Few-Shot Few-Shot Learning and the role of Spatial Attention
Few-Shot Few-Shot Learning and the role of Spatial AttentionInternational Conference on Pattern Recognition (ICPR), 2020
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
SSL
150
7
0
18 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise TransformationInternational Conference on Learning Representations (ICLR), 2020
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
334
445
0
23 Jan 2020
Towards Contextual Learning in Few-shot Object Classification
Towards Contextual Learning in Few-shot Object Classification
M. Fortin
B. Chaib-draa
155
4
0
13 Dec 2019
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image ClassificationEuropean Conference on Computer Vision (ECCV), 2019
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
204
163
0
11 Dec 2019
Learning Multi-level Weight-centric Features for Few-shot Learning
Learning Multi-level Weight-centric Features for Few-shot LearningPattern Recognition (Pattern Recognit.), 2019
Min-Siong Liang
Shaoli Huang
Shirui Pan
Biwei Huang
Wei Liu
312
11
0
28 Nov 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Few-Shot Object Detection with Attention-RPN and Multi-Relation DetectorComputer Vision and Pattern Recognition (CVPR), 2019
Qi Fan
Wei Zhuo
Chi-Keung Tang
Yu-Wing Tai
ObjD
335
602
0
06 Aug 2019
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
182
103
0
06 Jul 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-SupervisionIEEE International Conference on Computer Vision (ICCV), 2019
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
204
434
0
12 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot LearningInternational Journal of Computer Vision (IJCV), 2019
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
279
64
0
07 Jun 2019
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