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Power Normalizations in Fine-grained Image, Few-shot Image and Graph
  Classification

Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification

27 December 2020
Piotr Koniusz
Hongguang Zhang
ArXivPDFHTML

Papers citing "Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification"

14 / 14 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
25
9
0
07 Feb 2024
Learning Partial Correlation based Deep Visual Representation for Image
  Classification
Learning Partial Correlation based Deep Visual Representation for Image Classification
Saimunur Rahman
Piotr Koniusz
Lei Wang
Luping Zhou
Peyman Moghadam
Changming Sun
SSL
27
9
0
23 Apr 2023
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action
  Recognition
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
Lei Wang
Piotr Koniusz
ViT
28
45
0
25 Mar 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
37
87
0
02 Dec 2022
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
32
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
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
36
90
0
09 Jun 2022
Meta-Learning for Multi-Label Few-Shot Classification
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
15
25
0
26 Oct 2021
High-order Tensor Pooling with Attention for Action Recognition
High-order Tensor Pooling with Attention for Action Recognition
Lei Wang
Ke Sun
Piotr Koniusz
24
14
0
11 Oct 2021
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place
  Recognition
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
Kavisha Vidanapathirana
Milad Ramezani
Peyman Moghadam
S. Sridharan
Clinton Fookes
3DPC
3DV
36
82
0
17 Sep 2021
REFINE: Random RangE FInder for Network Embedding
REFINE: Random RangE FInder for Network Embedding
Hao Zhu
Piotr Koniusz
27
22
0
24 Aug 2021
Tensor Representations for Action Recognition
Tensor Representations for Action Recognition
Piotr Koniusz
Lei Wang
A. Cherian
36
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
21
59
0
12 Jan 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
329
11,681
0
09 Mar 2017
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