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A Baseline for Few-Shot Image Classification
v1v2v3v4v5 (latest)

A Baseline for Few-Shot Image Classification

International Conference on Learning Representations (ICLR), 2019
6 September 2019
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
ArXiv (abs)PDFHTML

Papers citing "A Baseline for Few-Shot Image Classification"

39 / 339 papers shown
Title
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
158
6
0
01 Oct 2020
Interventional Few-Shot Learning
Interventional Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2020
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
322
253
0
28 Sep 2020
Tailoring: encoding inductive biases by optimizing unsupervised
  objectives at prediction time
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction timeNeural Information Processing Systems (NeurIPS), 2020
Ferran Alet
Maria Bauza
Kenji Kawaguchi
Nurullah Giray Kuru
Tomas Lozano-Perez
L. Kaelbling
AI4CE
207
16
0
22 Sep 2020
Sparse Meta Networks for Sequential Adaptation and its Application to
  Adaptive Language Modelling
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling
Tsendsuren Munkhdalai
CLLOffRL
130
5
0
03 Sep 2020
Meta-Learning with Shared Amortized Variational Inference
Meta-Learning with Shared Amortized Variational InferenceInternational Conference on Machine Learning (ICML), 2020
E. Iakovleva
Jakob Verbeek
Alahari Karteek
OODFedMLBDL
129
25
0
27 Aug 2020
Transductive Information Maximization For Few-Shot Learning
Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
José Dolz
Pablo Piantanida
Ismail Ben Ayed
VLM
186
85
0
25 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
116
4
0
22 Aug 2020
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
268
28
0
18 Aug 2020
Informative Dropout for Robust Representation Learning: A Shape-bias
  Perspective
Informative Dropout for Robust Representation Learning: A Shape-bias PerspectiveInternational Conference on Machine Learning (ICML), 2020
Baifeng Shi
Dinghuai Zhang
Jingdong Sun
Zhanxing Zhu
Yadong Mu
Jingdong Wang
OOD
130
119
0
10 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
129
38
0
10 Aug 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
453
381
0
22 Jul 2020
Complementing Representation Deficiency in Few-shot Image
  Classification: A Meta-Learning Approach
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
Zhuo Zhou
Cheng Gu
Wenxin Huang
Lin Li
Shuqin Chen
Chia-Wen Lin
SSL
124
13
0
21 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine
  Pseudo-Labeling with Visual-Semantic Meta-Embedding
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-EmbeddingACM Multimedia (ACM MM), 2020
Jinhai Yang
Han Yang
Lin Chen
126
20
0
11 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
244
2
0
02 Jul 2020
Few-Shot Microscopy Image Cell Segmentation
Few-Shot Microscopy Image Cell Segmentation
Youssef Dawoud
Julia Hornauer
G. Carneiro
Vasileios Belagiannis
VLM
116
13
0
29 Jun 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
216
9
0
29 Jun 2020
Laplacian Regularized Few-Shot Learning
Laplacian Regularized Few-Shot Learning
Imtiaz Masud Ziko
Jose Dolz
Mohammadhadi Shateri
Ismail Ben Ayed
260
191
0
28 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
315
140
0
21 Jun 2020
Tent: Fully Test-time Adaptation by Entropy Minimization
Tent: Fully Test-time Adaptation by Entropy Minimization
Yi Xu
Evan Shelhamer
Shaoteng Liu
Bruno A. Olshausen
Trevor Darrell
OOD
563
58
0
18 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning
Self-supervised Knowledge Distillation for Few-shot Learning
Jathushan Rajasegaran
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
M. Shah
SSL
150
112
0
17 Jun 2020
High-order structure preserving graph neural network for few-shot
  learning
High-order structure preserving graph neural network for few-shot learningIEEE Internet of Things Journal (IEEE IoT J.), 2020
Guangfeng Lin
Ying Yang
Y. Fan
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
198
4
0
29 May 2020
Meta-Meta Classification for One-Shot Learning
Meta-Meta Classification for One-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Arkabandhu Chowdhury
Dipak Chaudhari
Swarat Chaudhuri
C. Jermaine
153
5
0
17 Apr 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
Negative Margin Matters: Understanding Margin in Few-shot ClassificationEuropean Conference on Computer Vision (ECCV), 2020
Yinan Han
Yue Cao
Yutong Lin
Qi Li
Zheng Zhang
Mingsheng Long
Han Hu
170
358
0
26 Mar 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object DetectionInternational Conference on Machine Learning (ICML), 2020
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
Feng Yu
ObjD
461
659
0
16 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
340
151
0
15 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot
  classification
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classificationEuropean Conference on Computer Vision (ECCV), 2020
M. Lichtenstein
P. Sattigeri
Rogerio Feris
Raja Giryes
Leonid Karlinsky
167
80
0
14 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2020
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
660
417
0
09 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned
  Representations
LEEP: A New Measure to Evaluate Transferability of Learned RepresentationsInternational Conference on Machine Learning (ICML), 2020
Cuong V Nguyen
Tal Hassner
Matthias Seeger
Cédric Archambeau
250
252
0
27 Feb 2020
Unraveling Meta-Learning: Understanding Feature Representations for
  Few-Shot Tasks
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot TasksInternational Conference on Machine Learning (ICML), 2020
Micah Goldblum
Steven Reich
Liam H. Fowl
Renkun Ni
Valeriia Cherepanova
Tom Goldstein
SSLOffRL
270
78
0
17 Feb 2020
Incremental Meta-Learning via Indirect Discriminant Alignment
Incremental Meta-Learning via Indirect Discriminant Alignment
Qing Liu
Orchid Majumder
Alessandro Achille
Avinash Ravichandran
Rahul Bhotika
Stefano Soatto
CLL
128
6
0
11 Feb 2020
Prototype Refinement Network for Few-Shot Segmentation
Prototype Refinement Network for Few-Shot Segmentation
Jinlu Liu
Yongqiang Qin
SSeg
144
32
0
10 Feb 2020
Continual Local Replacement for Few-shot Learning
Continual Local Replacement for Few-shot Learning
Canyu Le
Zhonggui Chen
Xihan Wei
Biao Wang
Lei Zhang
BDLCLL
166
2
0
23 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across
  Domains
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
163
50
0
22 Jan 2020
Meta-Learning Initializations for Image Segmentation
Meta-Learning Initializations for Image Segmentation
S. Hendryx
Andrew B. Leach
P. Hein
Clayton T. Morrison
VLM
170
26
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
147
163
0
11 Dec 2019
Generalized Adaptation for Few-Shot Learning
Liang Song
Jinlu Liu
Yongqiang Qin
VLM
218
8
0
25 Nov 2019
Prototype Rectification for Few-Shot Learning
Prototype Rectification for Few-Shot LearningEuropean Conference on Computer Vision (ECCV), 2019
Jinlu Liu
Liang Song
Yongqiang Qin
458
265
0
25 Nov 2019
Meta-Q-Learning
Meta-Q-LearningInternational Conference on Learning Representations (ICLR), 2019
Rasool Fakoor
Pratik Chaudhari
Stefano Soatto
Alex Smola
OffRL
239
156
0
30 Sep 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few
  Examples
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Eleni Triantafillou
Tyler Lixuan Zhu
Vincent Dumoulin
Pascal Lamblin
Utku Evci
...
Ross Goroshin
Carles Gelada
Kevin Swersky
Pierre-Antoine Manzagol
Hugo Larochelle
434
665
0
07 Mar 2019
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