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Multi-scale Adaptive Task Attention Network for Few-Shot Learning

Multi-scale Adaptive Task Attention Network for Few-Shot Learning

30 November 2020
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
ArXivPDFHTML

Papers citing "Multi-scale Adaptive Task Attention Network for Few-Shot Learning"

12 / 12 papers shown
Title
SuSana Distancia is all you need: Enforcing class separability in metric
  learning via two novel distance-based loss functions for few-shot image
  classification
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification
M. Mendez-Ruiz
Jorge Gonzalez-Zapata
Iván Reyes-Amezcua
Daniel Flores-Araiza
F. Lopez-Tiro
Andres Mendez-Vazquez
G. Ochoa-Ruiz
17
0
0
15 May 2023
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
Yanjun Qi
Han Sun
Ningzhong Liu
Huiyu Zhou
13
7
0
22 Oct 2022
Learning Primitive-aware Discriminative Representations for Few-shot
  Learning
Learning Primitive-aware Discriminative Representations for Few-shot Learning
Jianpeng Yang
Yuhang Niu
Xuemei Xie
G. Shi
11
1
0
20 Aug 2022
Few-shot Fine-grained Image Classification via Multi-Frequency
  Neighborhood and Double-cross Modulation
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
Hegui Zhu
Zhan Gao
Jiayi Wang
Yangqiaoyu Zhou
Chengqing Li
11
6
0
18 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
31
341
0
13 May 2022
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation
  for Few-Shot Learning
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning
Uche M. Osahor
Nasser M. Nasrabadi
9
11
0
18 Oct 2021
Sparse Spatial Transformers for Few-Shot Learning
Sparse Spatial Transformers for Few-Shot Learning
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
ViT
17
31
0
27 Sep 2021
Finding Significant Features for Few-Shot Learning using Dimensionality
  Reduction
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction
M. Mendez-Ruiz
Jorge Gonzalez-Zapata
G. Ochoa-Ruiz
Andres Mendez-Vazquez
15
1
0
06 Jul 2021
Hierarchical Representation based Query-Specific Prototypical Network
  for Few-Shot Image Classification
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification
Yaohui Li
Huaxiong Li
Haoxing Chen
Chunlin Chen
14
4
0
21 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
19
21
0
21 Mar 2021
Cross-X Learning for Fine-Grained Visual Categorization
Cross-X Learning for Fine-Grained Visual Categorization
W. Luo
Xitong Yang
Xianjie Mo
Yuheng Lu
L. Davis
Jun Li
Jian Yang
Ser-Nam Lim
70
193
0
10 Sep 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
243
11,568
0
09 Mar 2017
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