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Improving Few-shot Learning by Spatially-aware Matching and
  CrossTransformer

Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer

6 January 2020
Hongguang Zhang
Philip Torr
Piotr Koniusz
    ViT
ArXivPDFHTML

Papers citing "Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer"

12 / 12 papers shown
Title
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
54
91
0
09 Jun 2022
On Learning the Geodesic Path for Incremental Learning
On Learning the Geodesic Path for Incremental Learning
Christian Simon
Piotr Koniusz
Mehrtash Harandi
CLL
29
118
0
17 Apr 2021
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
229
637
0
17 Oct 2019
Edge-labeling Graph Neural Network for Few-shot Learning
Edge-labeling Graph Neural Network for Few-shot Learning
Jongmin Kim
Taesup Kim
Sungwoong Kim
Chang D. Yoo
47
455
0
04 May 2019
Few-Shot Learning with Localization in Realistic Settings
Few-Shot Learning with Localization in Realistic Settings
Davis Wertheimer
Bharath Hariharan
35
142
0
09 Apr 2019
Power Normalizing Second-order Similarity Network for Few-shot Learning
Power Normalizing Second-order Similarity Network for Few-shot Learning
Hongguang Zhang
Piotr Koniusz
34
59
0
10 Nov 2018
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body
  Skeletons via Kernel Feature Maps
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps
Yusuf Tas
Piotr Koniusz
3DH
55
29
0
24 Jun 2018
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
21
1,125
0
25 Apr 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
151
4,035
0
16 Nov 2017
Few-Shot Learning with Graph Neural Networks
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras
Joan Bruna
GNN
132
1,235
0
10 Nov 2017
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
735
11,793
0
09 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
228
7,286
0
13 Jun 2016
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