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Few-shot Image Classification: Just Use a Library of Pre-trained Feature
  Extractors and a Simple Classifier

Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier

3 January 2021
Arkabandhu Chowdhury
Mingchao Jiang
Swarat Chaudhuri
C. Jermaine
    VLM
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Papers citing "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"

12 / 12 papers shown
Title
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
42
1
0
01 Mar 2024
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot
  Relation Reasoning
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning
Lingyuan Meng
K. Liang
Bin Xiao
Sihang Zhou
Yue Liu
Meng Liu
Xihong Yang
Xinwang Liu
27
20
0
20 Apr 2023
Learning useful representations for shifting tasks and distributions
Learning useful representations for shifting tasks and distributions
Jianyu Zhang
Léon Bottou
OOD
34
13
0
14 Dec 2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for
  Interpretable Image Classification
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
Yue Yang
Artemis Panagopoulou
Shenghao Zhou
Daniel Jin
Chris Callison-Burch
Mark Yatskar
40
211
0
21 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Deunsol Jung
Dahyun Kang
Suha Kwak
Minsu Cho
CLL
21
8
0
14 Nov 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
24
12
0
13 Nov 2022
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Few-shot Relational Reasoning via Connection Subgraph Pretraining
Qian Huang
Hongyu Ren
J. Leskovec
LRM
20
24
0
13 Oct 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique
Convolutional Ensembling based Few-Shot Defect Detection Technique
Soumyajit Karmakar
Abeer Banerjee
P. Gidde
Sumeet Saurav
S. Singh
UQCV
21
2
0
05 Aug 2022
On the Convergence of Shallow Neural Network Training with Randomly
  Masked Neurons
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
Fangshuo Liao
Anastasios Kyrillidis
36
16
0
05 Dec 2021
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
196
498
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
167
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
329
11,681
0
09 Mar 2017
1