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Power Normalizing Second-order Similarity Network for Few-shot Learning

Power Normalizing Second-order Similarity Network for Few-shot Learning

10 November 2018
Hongguang Zhang
Piotr Koniusz
ArXivPDFHTML

Papers citing "Power Normalizing Second-order Similarity Network for Few-shot Learning"

11 / 11 papers shown
Title
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via
  Temporal-Viewpoint Alignment
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Lei Wang
Jun Liu
Liang Zheng
Tom Gedeon
Piotr Koniusz
30
9
0
07 Feb 2024
An Adaptive Plug-and-Play Network for Few-Shot Learning
An Adaptive Plug-and-Play Network for Few-Shot Learning
Hao Li
Li Li
Yun-Ya Huang
Ning Li
Yongtao Zhang
26
3
0
18 Feb 2023
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot
  Object Detection
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection
Shan Zhang
Naila Murray
Lei Wang
Piotr Koniusz
ViT
37
16
0
30 Oct 2022
Not All Instances Contribute Equally: Instance-adaptive Class
  Representation Learning for Few-Shot Visual Recognition
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition
M. Han
Yibing Zhan
Yong Luo
Bo Du
Han Hu
Yonggang Wen
Dacheng Tao
19
6
0
07 Sep 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for
  Few-Shot Classification
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie
Fei Long
Jiaming Lv
Qilong Wang
P. Li
23
160
0
09 Apr 2022
Meta-Learning for Multi-Label Few-Shot Classification
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
18
25
0
26 Oct 2021
Tensor Representations for Action Recognition
Tensor Representations for Action Recognition
Piotr Koniusz
Lei Wang
A. Cherian
39
68
0
28 Dec 2020
Rethinking Class Relations: Absolute-relative Supervised and
  Unsupervised Few-shot Learning
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Hongguang Zhang
Piotr Koniusz
Songlei Jian
Hongdong Li
Philip H. S. Torr
SSL
28
59
0
12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention
Few-shot Action Recognition with Permutation-invariant Attention
Hongguang Zhang
Li Zhang
Xiaojuan Qi
Hongdong Li
Philip H. S. Torr
Piotr Koniusz
19
3
0
12 Jan 2020
Few-Shot Learning with Localization in Realistic Settings
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer
Bharath Hariharan
19
140
0
09 Apr 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
332
11,684
0
09 Mar 2017
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