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Incremental Few-Shot Learning for Pedestrian Attribute Recognition

Incremental Few-Shot Learning for Pedestrian Attribute Recognition

2 June 2019
Liuyu Xiang
Xiaoming Jin
Guiguang Ding
Jungong Han
Leida Li
    CLL
ArXivPDFHTML

Papers citing "Incremental Few-Shot Learning for Pedestrian Attribute Recognition"

15 / 15 papers shown
Title
Theoretical Models of Learning to Learn
Theoretical Models of Learning to Learn
Jonathan Baxter
41
724
0
27 Feb 2020
Adaptive Region Embedding for Text Classification
Adaptive Region Embedding for Text Classification
Liuyu Xiang
Xiaoming Jin
Lan Yi
Guiguang Ding
26
9
0
28 May 2019
Dynamic Few-Shot Visual Learning without Forgetting
Dynamic Few-Shot Visual Learning without Forgetting
Spyros Gidaris
N. Komodakis
VLM
59
1,130
0
25 Apr 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
295
4,050
0
16 Nov 2017
Learning Deep Context-aware Features over Body and Latent Parts for
  Person Re-identification
Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
Dangwei Li
Xiaotang Chen
Zheng Zhang
Kaiqi Huang
3DPC
70
677
0
18 Oct 2017
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
Xihui Liu
Haiyu Zhao
Maoqing Tian
Lu Sheng
Jing Shao
Shuai Yi
Junjie Yan
Xiaogang Wang
68
515
0
28 Sep 2017
Attribute Recognition by Joint Recurrent Learning of Context and
  Correlation
Attribute Recognition by Joint Recurrent Learning of Context and Correlation
Jingya Wang
Xiatian Zhu
S. Gong
Wei Li
55
150
0
25 Sep 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
300
8,134
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
823
11,909
0
09 Mar 2017
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
365
7,518
0
02 Dec 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
296
4,408
0
29 Jun 2016
Learning feed-forward one-shot learners
Learning feed-forward one-shot learners
Luca Bertinetto
João F. Henriques
Jack Valmadre
Philip Torr
Andrea Vedaldi
68
471
0
16 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
370
7,323
0
13 Jun 2016
A Richly Annotated Dataset for Pedestrian Attribute Recognition
A Richly Annotated Dataset for Pedestrian Attribute Recognition
Dangwei Li
Zheng Zhang
Xiaotang Chen
Haibin Ling
Kaiqi Huang
49
179
0
23 Mar 2016
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
149
1,442
0
21 Dec 2013
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