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A Baseline for Few-Shot Image Classification

A Baseline for Few-Shot Image Classification

6 September 2019
Guneet Singh Dhillon
Pratik Chaudhari
Avinash Ravichandran
Stefano Soatto
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Papers citing "A Baseline for Few-Shot Image Classification"

27 / 127 papers shown
Title
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots
  Matters
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
Mengjie Zhao
Yi Zhu
Ehsan Shareghi
Ivan Vulić
Roi Reichart
Anna Korhonen
Hinrich Schütze
32
64
0
31 Dec 2020
SENTRY: Selective Entropy Optimization via Committee Consistency for
  Unsupervised Domain Adaptation
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
46
133
0
21 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning
On Episodes, Prototypical Networks, and Few-shot Learning
Steinar Laenen
Luca Bertinetto
20
97
0
17 Dec 2020
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
16
25
0
15 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
40
61
0
14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
177
188
0
11 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
27
6
0
02 Dec 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
29
29
0
30 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
18
70
0
24 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
17
2
0
19 Nov 2020
Learning to Learn Variational Semantic Memory
Learning to Learn Variational Semantic Memory
Xiantong Zhen
Yingjun Du
Huan Xiong
Qiang Qiu
Cees G. M. Snoek
Ling Shao
SSL
BDL
VLM
DRL
15
34
0
20 Oct 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
29
6
0
01 Oct 2020
Interventional Few-Shot Learning
Interventional Few-Shot Learning
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
26
225
0
28 Sep 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
29
22
0
18 Aug 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
13
35
0
10 Aug 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
215
330
0
22 Jul 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
29
125
0
21 Jun 2020
Tent: Fully Test-time Adaptation by Entropy Minimization
Tent: Fully Test-time Adaptation by Entropy Minimization
Dequan Wang
Evan Shelhamer
Shaoteng Liu
Bruno A. Olshausen
Trevor Darrell
OOD
40
53
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
31
91
0
17 Jun 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu
Yue Cao
Yutong Lin
Qi Li
Zheng-Wei Zhang
Mingsheng Long
Han Hu
29
317
0
26 Mar 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
Feng Yu
ObjD
95
544
0
16 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned
  Representations
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong V Nguyen
Tal Hassner
Matthias Seeger
Cédric Archambeau
28
213
0
27 Feb 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
27
48
0
22 Jan 2020
Meta-Q-Learning
Meta-Q-Learning
Rasool Fakoor
Pratik Chaudhari
Stefano Soatto
Alex Smola
OffRL
22
145
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
51
612
0
07 Mar 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
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
362
11,684
0
09 Mar 2017
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