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A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning

A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning

22 October 2022
Yanjun Qi
Han Sun
Ningzhong Liu
Huiyu Zhou
ArXiv (abs)PDFHTML

Papers citing "A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning"

20 / 20 papers shown
Title
Fine-Grained Few Shot Learning with Foreground Object Transformation
Fine-Grained Few Shot Learning with Foreground Object Transformation
Chaofei Wang
S. Song
Qisen Yang
Xiang Li
Gao Huang
88
23
0
13 Sep 2021
Object-aware Long-short-range Spatial Alignment for Few-Shot
  Fine-Grained Image Classification
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
Yike Wu
Bo Zhang
Gang Yu
Weixiao Zhang
Bin Wang
Tao Chen
Jiayuan Fan
ObjD
62
24
0
30 Aug 2021
Counterfactual Attention Learning for Fine-Grained Visual Categorization
  and Re-identification
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
Yongming Rao
Guangyi Chen
Jiwen Lu
Jie Zhou
CMLOOD
58
243
0
19 Aug 2021
Fine-Grained Visual Classification via Simultaneously Learning of
  Multi-regional Multi-grained Features
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
Dongliang Chang
Yixiao Zheng
Zhanyu Ma
Ruoyi Du
Kongming Liang
75
3
0
31 Jan 2021
Integrated Generalized Zero-Shot Learning for Fine-Grained
  Classification
Integrated Generalized Zero-Shot Learning for Fine-Grained Classification
Tasfia Shermin
S. Teng
Ferdous Sohel
Manzur Murshed
Guojun Lu
81
22
0
31 Dec 2020
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Multi-scale Adaptive Task Attention Network for Few-Shot Learning
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
73
30
0
30 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image
  Classification
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Xiaoxu Li
Jijie Wu
Z. Sun
Zhanyu Ma
Jie Cao
Jing-Hao Xue
55
126
0
29 Nov 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
70
306
0
11 Feb 2020
Weakly Supervised Attention Pyramid Convolutional Neural Network for
  Fine-Grained Visual Classification
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
Yifeng Ding
Shaoguo Wen
Jiyang Xie
Dongliang Chang
Zhanyu Ma
Zhongwei Si
Haibin Ling
65
56
0
09 Feb 2020
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
127
195
0
10 Sep 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot
  Learning
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li
Lei Wang
Jinglin Xu
Jing Huo
Yang Gao
Jiebo Luo
84
491
0
28 Mar 2019
Dense Classification and Implanting for Few-Shot Learning
Dense Classification and Implanting for Few-Shot Learning
Yann Lifchitz
Yannis Avrithis
Sylvaine Picard
Andrei Bursuc
VLM
60
197
0
12 Mar 2019
See Better Before Looking Closer: Weakly Supervised Data Augmentation
  Network for Fine-Grained Visual Classification
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
Tao Hu
H. Qi
Qingming Huang
Yan Lu
41
235
0
26 Jan 2019
Piecewise classifier mappings: Learning fine-grained learners for novel
  categories with few examples
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples
Xiu-Shen Wei
Peng Wang
Lingqiao Liu
Chunhua Shen
Jianxin Wu
66
124
0
11 May 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
301
4,050
0
16 Nov 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
303
8,145
0
15 Mar 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
825
11,937
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
373
7,323
0
13 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Bird Species Categorization Using Pose Normalized Deep Convolutional
  Nets
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Steve Branson
Grant Van Horn
Serge J. Belongie
Pietro Perona
90
512
0
11 Jun 2014
1