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Matching Feature Sets for Few-Shot Image Classification

Matching Feature Sets for Few-Shot Image Classification

2 April 2022
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
    VLM
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Papers citing "Matching Feature Sets for Few-Shot Image Classification"

15 / 15 papers shown
Title
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision
  and Text
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text
Yuyu Jia
Qing Zhou
Wei Huang
Junyu Gao
Qi. Wang
VLM
37
1
0
21 May 2024
Instance-based Max-margin for Practical Few-shot Recognition
Instance-based Max-margin for Practical Few-shot Recognition
Minghao Fu
Kevin Zhu
Jianxin Wu
35
2
0
27 May 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
37
17
0
03 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
36
3
0
22 Dec 2022
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
27
12
0
13 Nov 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Xiu-Shen Wei
Hesheng Xu
Faen Zhang
Yuxin Peng
Wei Zhou
27
14
0
28 Sep 2022
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
113
66
0
10 Sep 2021
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
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
175
342
0
09 Mar 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
630
0
17 Oct 2019
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
192
351
0
12 Jun 2018
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
202
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
176
666
0
07 Jun 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
341
11,684
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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