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Memory Matching Networks for One-Shot Image Recognition

Memory Matching Networks for One-Shot Image Recognition

23 April 2018
Qi Cai
Yingwei Pan
Ting Yao
C. Yan
Tao Mei
    VLM
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Papers citing "Memory Matching Networks for One-Shot Image Recognition"

39 / 39 papers shown
Title
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
74
3
0
20 Jul 2024
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial
  Beauty Prediction
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction
Luojun Lin
Zhifeng Shen
Jia-Li Yin
Qipeng Liu
Yuanlong Yu
Weijie Chen
CVBM
26
4
0
23 Nov 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided
  Enhancement
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
Zhen-Hu Ning
Zhuotao Tian
Guangming Lu
Wenjie Pei
3DPC
26
14
0
06 Aug 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
38
18
0
31 May 2023
Meta-Shop: Improving Item Advertisement For Small Businesses
Meta-Shop: Improving Item Advertisement For Small Businesses
Yang Shi
Guannan Liang
Young-joo Chung
30
0
0
02 Dec 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
OOD
24
3
0
15 Nov 2022
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via
  Audio-Lip Memory
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory
Se Jin Park
Minsu Kim
Joanna Hong
J. Choi
Y. Ro
CVBM
19
85
0
02 Nov 2022
Few-Shot Segmentation via Rich Prototype Generation and Recurrent
  Prediction Enhancement
Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement
Hongsheng Wang
Xiaoqi Zhao
Youwei Pang
Jinqing Qi
VLM
36
2
0
03 Oct 2022
In-Place Gestures Classification via Long-term Memory Augmented Network
In-Place Gestures Classification via Long-term Memory Augmented Network
Lizhi Zhao
Xuequan Lu
Qianyue Bao
Meili Wang
18
4
0
02 Sep 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
25
156
0
07 Mar 2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised
  Anomaly Detection
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection
Yu-xin Zhang
Jindong Wang
Yiqiang Chen
Hanchao Yu
Tao Qin
AI4TS
28
54
0
03 Jan 2022
Feature-based Recognition Framework for Super-resolution Images
Feature-based Recognition Framework for Super-resolution Images
Jing Hu
Meiqi Zhang
Rui Zhang
SupR
19
0
0
04 Dec 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
19
15
0
30 Oct 2021
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning
  of 3D Pose
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang
Shenxiao Mei
Alan Yuille
Adam Kortylewski
3DV
31
21
0
27 Oct 2021
Summarize and Search: Learning Consensus-aware Dynamic Convolution for
  Co-Saliency Detection
Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
Ni Zhang
Junwei Han
Nian Liu
Ling Shao
31
50
0
01 Oct 2021
PFENet++: Boosting Few-shot Semantic Segmentation with the
  Noise-filtered Context-aware Prior Mask
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo
Zhuotao Tian
Taiping Zhang
Bei Yu
Yuan Yan Tang
Jiaya Jia
46
37
0
28 Sep 2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot
  Slot Tagging
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
Hongru Wang
Zezhong Wang
Gabriel Pui Cheong Fung
Kam-Fai Wong
OffRL
CLL
27
10
0
26 Aug 2021
Video-based Person Re-identification with Spatial and Temporal Memory
  Networks
Video-based Person Re-identification with Spatial and Temporal Memory Networks
Chanho Eom
Geon Lee
Junghyup Lee
Bumsub Ham
13
72
0
20 Aug 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu
Sen He
Xiatian Zhu
Li Zhang
Yi-Zhe Song
Tao Xiang
ViT
171
173
0
06 Aug 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
  Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
42
24
0
11 Jun 2021
Few-shot Partial Multi-view Learning
Few-shot Partial Multi-view Learning
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Jiebo Luo
30
1
0
05 May 2021
Video Prediction Recalling Long-term Motion Context via Memory Alignment
  Learning
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning
Sangmin Lee
Hak Gu Kim
Dae Hwi Choi
Hyungil Kim
Yong Man Ro
25
102
0
02 Apr 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor
  Neural Network
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu
Tu Zheng
Jie Song
Deng Cai
Xiaofei He
30
25
0
15 Mar 2021
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
18
70
0
24 Nov 2020
Generalized Few-shot Semantic Segmentation
Generalized Few-shot Semantic Segmentation
Zhuotao Tian
Xin Lai
Li Jiang
Shu Liu
Michelle Shu
Hengshuang Zhao
Jiaya Jia
VLM
27
80
0
11 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
31
79
0
17 Sep 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLM
BDL
26
54
0
30 Jul 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss
Boosting Few-Shot Learning With Adaptive Margin Loss
Aoxue Li
Weiran Huang
Xu Lan
Jiashi Feng
Zhenguo Li
Liwei Wang
19
192
0
28 May 2020
Memory-Augmented Relation Network for Few-Shot Learning
Memory-Augmented Relation Network for Few-Shot Learning
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Zhengjun Zha
Meng Wang
19
47
0
09 May 2020
Few-Shot Learning with Geometric Constraints
Few-Shot Learning with Geometric Constraints
Hong G Jung
Seong-Whan Lee
23
49
0
20 Mar 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
PARN: Position-Aware Relation Networks for Few-Shot Learning
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu
Yuwei Li
Lihua Guo
K. Jia
26
86
0
10 Sep 2019
Few-Shot Learning with Global Class Representations
Few-Shot Learning with Global Class Representations
Tiange Luo
Aoxue Li
Tao Xiang
Weiran Huang
Liwei Wang
16
114
0
14 Aug 2019
Progressive Cluster Purification for Transductive Few-shot Learning
Progressive Cluster Purification for Transductive Few-shot Learning
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
T. Tan
VLM
30
1
0
10 Jun 2019
Image Deformation Meta-Networks for One-Shot Learning
Image Deformation Meta-Networks for One-Shot Learning
Z. Chen
Yanwei Fu
Yu-xiong Wang
Lin Ma
Wei Liu
M. Hebert
15
217
0
28 May 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
11
484
0
28 Mar 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu
Haoyuan Mu
Xiangyu Zhang
Zilei Wang
T. Tan
Jian-jun Sun
SupR
19
401
0
03 Mar 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
329
11,684
0
09 Mar 2017
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