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Transductive Few-shot Learning with Prototype-based Label Propagation by
  Iterative Graph Refinement

Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement

23 April 2023
Hao Zhu
Piotr Koniusz
ArXivPDFHTML

Papers citing "Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement"

12 / 12 papers shown
Title
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
77
0
0
21 Dec 2024
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Lingyu Si
VLM
ViT
45
1
0
05 Oct 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
13
41
0
31 Jul 2023
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
16
9
0
23 Apr 2023
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
8
12
0
13 Nov 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action
  Recognition
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition
Lei Wang
Piotr Koniusz
37
27
0
30 Oct 2022
Power Normalizations in Fine-grained Image, Few-shot Image and Graph
  Classification
Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
Piotr Koniusz
Hongguang Zhang
37
55
0
27 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
33
60
0
14 Dec 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
202
627
0
17 Oct 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 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
237
11,568
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1