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Few-Shot Classification with Feature Map Reconstruction Networks

Few-Shot Classification with Feature Map Reconstruction Networks

2 December 2020
Davis Wertheimer
Luming Tang
B. Hariharan
ArXivPDFHTML

Papers citing "Few-Shot Classification with Feature Map Reconstruction Networks"

33 / 33 papers shown
Title
PREMISE: Matching-based Prediction for Accurate Review Recommendation
PREMISE: Matching-based Prediction for Accurate Review Recommendation
Wei Han
Hui Chen
Soujanya Poria
39
0
0
02 May 2025
ProFi-Net: Prototype-based Feature Attention with Curriculum Augmentation for WiFi-based Gesture Recognition
ProFi-Net: Prototype-based Feature Attention with Curriculum Augmentation for WiFi-based Gesture Recognition
Zhe Cui
Shuxian Zhang
Kangzhi Lou
Le-Nam Tran
36
0
0
28 Apr 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
85
3
0
17 Jan 2025
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification
Aisha Zulfiqar
Ebroul Izquiedro
40
0
0
12 Jan 2025
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval
Ryoya Nara
Yu-Chieh Lin
Yuji Nozawa
Youyang Ng
Goh Itoh
Osamu Torii
Yusuke Matsui
HAI
29
2
0
25 Apr 2024
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained
  Ship Classification
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
Long Lan
Fengxiang Wang
Shuyan Li
Xiangtao Zheng
Zengmao Wang
Xinwang Liu
VLM
26
7
0
13 Mar 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
52
1
0
05 Oct 2023
LPN: Language-guided Prototypical Network for few-shot classification
LPN: Language-guided Prototypical Network for few-shot classification
Kaihui Cheng
Chule Yang
Xiao Liu
Naiyang Guan
Zhiyuan Wang
39
0
0
04 Jul 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving
  Few-Shot Learning
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
16
10
0
26 Apr 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning
An Adaptive Plug-and-Play Network for Few-Shot Learning
Hao Li
Li Li
Yun-Ya Huang
Ning Li
Yongtao Zhang
23
3
0
18 Feb 2023
Robust Meta-Representation Learning via Global Label Inference and
  Classification
Robust Meta-Representation Learning via Global Label Inference and Classification
Ruohan Wang
Isak Falk
Massimiliano Pontil
C. Ciliberto
33
3
0
22 Dec 2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot
  Image Classification
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
Jijie Wu
Dongliang Chang
Aneeshan Sain
Xiaoxu Li
Zhanyu Ma
Jie Cao
Jun Guo
Yi-Zhe Song
19
35
0
30 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Few-shot Classification with Hypersphere Modeling of Prototypes
Ning Ding
Yulin Chen
Ganqu Cui
Xiaobin Wang
Haitao Zheng
Zhiyuan Liu
Pengjun Xie
25
8
0
10 Nov 2022
Adaptive Dimension Reduction and Variational Inference for Transductive
  Few-Shot Classification
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
Yuqing Hu
S. Pateux
Vincent Gripon
22
15
0
18 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDL
VLM
27
17
0
22 Aug 2022
Learning Cross-Image Object Semantic Relation in Transformer for
  Few-Shot Fine-Grained Image Classification
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Bo-Wen Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Botian Shi
ViT
13
31
0
02 Jul 2022
Rethinking Generalization in Few-Shot Classification
Rethinking Generalization in Few-Shot Classification
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCL
VLM
17
55
0
15 Jun 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
50
343
0
13 May 2022
Generating Representative Samples for Few-Shot Classification
Generating Representative Samples for Few-Shot Classification
Jingyi Xu
Hieu M. Le
VLM
13
61
0
05 May 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for
  Few-Shot Classification
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
Jiangtao Xie
Fei Long
Jiaming Lv
Qilong Wang
P. Li
23
160
0
09 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot
  Classification
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Philip Chikontwe
Soopil Kim
Sang Hyun Park
30
32
0
25 Mar 2022
Hybrid Graph Neural Networks for Few-Shot Learning
Hybrid Graph Neural Networks for Few-Shot Learning
Tianyuan Yu
Sen He
Yi-Zhe Song
Tao Xiang
19
59
0
13 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma
Pengfei Fang
Tom Drummond
Mehrtash Harandi
19
45
0
03 Dec 2021
LibFewShot: A Comprehensive Library for Few-shot Learning
LibFewShot: A Comprehensive Library for Few-shot Learning
Wenbin Li
Ziyi
Ziyi Wang
Xuesong Yang
C. Dong
...
Jing Huo
Yinghuan Shi
Lei Wang
Yang Gao
Jiebo Luo
VLM
110
66
0
10 Sep 2021
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot Classification
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
28
185
0
22 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer
  Them
The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang
Massimiliano Pontil
C. Ciliberto
VLM
32
17
0
09 Aug 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
42
86
0
16 Jul 2021
Do Different Tracking Tasks Require Different Appearance Models?
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang
Hengshuang Zhao
Yali Li
Shengjin Wang
Philip H. S. Torr
Luca Bertinetto
37
81
0
05 Jul 2021
Tensor feature hallucination for few-shot learning
Tensor feature hallucination for few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
27
22
0
09 Jun 2021
Meta-Generating Deep Attentive Metric for Few-shot Classification
Meta-Generating Deep Attentive Metric for Few-shot Classification
Lei Zhang
Fei Zhou
Wei Wei
Yanning Zhang
VLM
39
28
0
03 Dec 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
206
330
0
22 Jul 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
204
629
0
17 Oct 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
320
11,681
0
09 Mar 2017
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