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Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level
  Strategy

Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy

8 November 2021
Junying Huang
Fan Chen
Keze Wang
Liang Lin
Dongyu Zhang
ArXivPDFHTML

Papers citing "Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy"

6 / 6 papers shown
Title
Recent Advances of Local Mechanisms in Computer Vision: A Survey and
  Outlook of Recent Work
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work
Qiangchang Wang
Yilong Yin
23
0
0
02 Jun 2023
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
18
5
0
02 Jan 2023
Learning from Taxonomy: Multi-label Few-Shot Classification for Everyday
  Sound Recognition
Learning from Taxonomy: Multi-label Few-Shot Classification for Everyday Sound Recognition
Jinhua Liang
Huy P Phan
Emmanouil Benetos
24
11
0
17 Dec 2022
Task Augmentation by Rotating for Meta-Learning
Task Augmentation by Rotating for Meta-Learning
Jialin Liu
Fei Chao
Chih-Min Lin
59
33
0
08 Feb 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
317
11,681
0
09 Mar 2017
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