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Rethinking the Metric in Few-shot Learning: From an Adaptive
  Multi-Distance Perspective

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective

2 November 2022
Jinxiang Lai
Siqian Yang
Guannan Jiang
Xi-Zhao Wang
Yuxi Li
Zihui Jia
Xiao Chen
J. Liu
Bin-Bin Gao
Wei Zhang
Yuan Xie
Chengjie Wang
ArXivPDFHTML

Papers citing "Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective"

4 / 4 papers shown
Title
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
39
86
0
16 Jul 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
330
0
22 Jul 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
629
0
17 Oct 2019
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
314
11,681
0
09 Mar 2017
1