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Revisiting Local Descriptor for Improved Few-Shot Classification

Revisiting Local Descriptor for Improved Few-Shot Classification

30 March 2021
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Qianru Sun
ArXivPDFHTML

Papers citing "Revisiting Local Descriptor for Improved Few-Shot Classification"

9 / 9 papers shown
Title
ProFi-Net: Prototype-based Feature Attention with Curriculum Augmentation for WiFi-based Gesture Recognition
ProFi-Net: Prototype-based Feature Attention with Curriculum Augmentation for WiFi-based Gesture Recognition
Zhe Cui
Shuxian Zhang
Kangzhi Lou
Le-Nam Tran
36
0
0
28 Apr 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data
Chao Liang
Linchao Zhu
Zongxin Yang
Wei Chen
Yi Yang
NoLa
59
0
0
05 Jan 2025
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully
  Test-time Adaptation
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation
Yushun Tang
Shuoshuo Chen
Zhehan Kan
Yi Zhang
Qinghai Guo
Zhihai He
45
2
0
27 Jun 2024
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face
  Learning
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
Hailin Shi
Dan Zeng
Yichun Tai
Hang Du
Yibo Hu
Zicheng Zhang
Tao Mei
CVBM
31
4
0
10 May 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
209
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
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
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
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
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