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Learning to Select Base Classes for Few-shot Classification

Learning to Select Base Classes for Few-shot Classification

1 April 2020
Linjun Zhou
Peng Cui
Xu Jia
Shiqiang Yang
Q. Tian
ArXivPDFHTML

Papers citing "Learning to Select Base Classes for Few-shot Classification"

5 / 5 papers shown
Title
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor
  Few-Shot Classification
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
31
5
0
02 Jan 2023
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot Classification
Jingyi Xu
Hieu M. Le
VLM
27
61
0
05 May 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric
  Approach
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach
Chunwei Ma
Ziyun Huang
Mingchen Gao
Jinhui Xu
26
4
0
05 Feb 2022
Impact of base dataset design on few-shot image classification
Impact of base dataset design on few-shot image classification
Othman Sbai
Camille Couprie
Mathieu Aubry
VLM
20
22
0
17 Jul 2020
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
520
11,727
0
09 Mar 2017
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