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Deep Metric Transfer for Label Propagation with Limited Annotated Data

Deep Metric Transfer for Label Propagation with Limited Annotated Data

20 December 2018
Bin Liu
Zhirong Wu
Han Hu
Stephen Lin
ArXivPDFHTML

Papers citing "Deep Metric Transfer for Label Propagation with Limited Annotated Data"

45 / 45 papers shown
Title
LayerMatch: Do Pseudo-labels Benefit All Layers?
LayerMatch: Do Pseudo-labels Benefit All Layers?
Chaoqi Liang
Guanglei Yang
Lifeng Qiao
Zitong Huang
Hongliang Yan
Yunchao Wei
W. Zuo
49
0
0
20 Jun 2024
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with
  Statistical Tokens
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens
Rizhao Cai
Zitong Yu
Chen Kong
Haoliang Li
Changsheng Chen
Yongjian Hu
Alex C. Kot
42
11
0
07 Sep 2023
Boosting Semi-Supervised Learning by bridging high and low-confidence
  predictions
Boosting Semi-Supervised Learning by bridging high and low-confidence predictions
Khanh-Binh Nguyen
Joon-Sung Yang
24
7
0
15 Aug 2023
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video
  Representations for Semi-Supervised Action Recognition
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
I. Dave
Mamshad Nayeem Rizve
Chong Chen
M. Shah
TTA
44
16
0
28 Mar 2023
Cross-utterance ASR Rescoring with Graph-based Label Propagation
Cross-utterance ASR Rescoring with Graph-based Label Propagation
Srinath Tankasala
Long Chen
A. Stolcke
A. Raju
Qianli Deng
Chander Chandak
Aparna Khare
Roland Maas
Venkatesh Ravichandran
18
0
0
27 Mar 2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot
  Class-Incremental Learning
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning
Yawen Cui
Wanxia Deng
Haoyu Chen
Li Liu
CLL
24
24
0
24 Jan 2023
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with
  Label Propagation for Cross-Domain Adaptation
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation
S. Bultmann
Jan Quenzel
Sven Behnke
34
18
0
18 Oct 2022
Label Propagation with Weak Supervision
Label Propagation with Weak Supervision
Rattana Pukdee
Dylan Sam
Maria-Florina Balcan
Pradeep Ravikumar
40
9
0
07 Oct 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the
  Best of Both Students
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
Xueye Zheng
Yuan Luo
Hao Wang
Chong Fu
Lin Wang
ViT
41
18
0
06 Sep 2022
Multi-Granularity Distillation Scheme Towards Lightweight
  Semi-Supervised Semantic Segmentation
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
Jie Qin
Jie Wu
Ming Li
Xu Xiao
Min Zheng
Xingang Wang
38
6
0
22 Aug 2022
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
49
44
0
05 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
Fahad Shahbaz Khan
M. Shah
39
49
0
05 Jul 2022
Localized Adversarial Domain Generalization
Localized Adversarial Domain Generalization
Wei-wei Zhu
Le Lu
Jing Xiao
Mei Han
Jiebo Luo
Adam P. Harrison
OOD
29
22
0
09 May 2022
Matching Feature Sets for Few-Shot Image Classification
Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
30
72
0
02 Apr 2022
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human
  Decomposition Images
SLRNet: Semi-Supervised Semantic Segmentation Via Label Reuse for Human Decomposition Images
Sara Mousavi
Zhen Yang
Kelley Cross
D. Steadman
A. Mockus
14
0
0
24 Feb 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang
Zhi-Li Wu
Long Lian
Stella X. Yu
36
92
0
05 Jan 2022
Revisiting Consistency Regularization for Semi-Supervised Learning
Revisiting Consistency Regularization for Semi-Supervised Learning
Yue Fan
Anna Kukleva
Bernt Schiele
21
58
0
10 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced
  Semi-Supervised Learning
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
16
43
0
08 Dec 2021
Reference-guided Pseudo-Label Generation for Medical Semantic
  Segmentation
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
C. Seibold
Simon Reiß
Jens Kleesiek
Rainer Stiefelhagen
MedIm
22
63
0
01 Dec 2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality
  Evaluation
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
Haoping Bai
Mengyao Cao
Ping-Chia Huang
Jiulong Shan
SSL
25
10
0
22 Nov 2021
From Face to Gait: Weakly-Supervised Learning of Gender Information from
  Walking Patterns
From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns
Andy Catruna
Adrian Cosma
I. Radoi
CVBM
27
10
0
31 Oct 2021
CvS: Classification via Segmentation For Small Datasets
CvS: Classification via Segmentation For Small Datasets
Nooshin Mojab
Philip S. Yu
J. Hallak
Darvin Yi
25
4
0
29 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
30
8
0
12 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
194
33
0
06 Oct 2021
Semi-supervised Semantic Segmentation with Directional Context-aware
  Consistency
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai
Zhuotao Tian
Li Jiang
Shu Liu
Hengshuang Zhao
Liwei Wang
Jiaya Jia
50
207
0
27 Jun 2021
Graph-based Label Propagation for Semi-Supervised Speaker Identification
Graph-based Label Propagation for Semi-Supervised Speaker Identification
Long Chen
Venkatesh Ravichandran
A. Stolcke
SSL
27
16
0
15 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised
  Learning
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Krishnateja Killamsetty
Xujiang Zhao
F. Chen
Rishabh K. Iyer
24
78
0
14 Jun 2021
CAPE: Encoding Relative Positions with Continuous Augmented Positional
  Embeddings
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
Tatiana Likhomanenko
Qiantong Xu
Gabriel Synnaeve
R. Collobert
A. Rogozhnikov
OOD
ViT
33
54
0
06 Jun 2021
Pseudo Pixel-level Labeling for Images with Evolving Content
Pseudo Pixel-level Labeling for Images with Evolving Content
Sara Mousavi
Zhenning Yang
Kelley Cross
D. Steadman
A. Mockus
14
1
0
20 May 2021
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive
  Learning
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Tsung-Wei Ke
Jyh-Jing Hwang
Stella X. Yu
SSL
35
75
0
03 May 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Yogesh S Rawat
M. Shah
241
509
0
15 Jan 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
SlimIPL: Language-Model-Free Iterative Pseudo-Labeling
SlimIPL: Language-Model-Free Iterative Pseudo-Labeling
Tatiana Likhomanenko
Qiantong Xu
Jacob Kahn
Gabriel Synnaeve
R. Collobert
VLM
29
61
0
22 Oct 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
30
709
0
19 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
4
191
0
09 Mar 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSL
VLM
17
161
0
20 Feb 2020
CycleCluster: Modernising Clustering Regularisation for Deep
  Semi-Supervised Classification
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification
P. Sellars
Angelica Aviles-Rivero
Carola Bibiane Schönlieb
14
0
0
15 Jan 2020
Associative Alignment for Few-shot Image Classification
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
8
150
0
11 Dec 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
34
672
0
21 Nov 2019
Local Label Propagation for Large-Scale Semi-Supervised Learning
Local Label Propagation for Large-Scale Semi-Supervised Learning
Chengxu Zhuang
Xuehao Ding
Divyanshu Murli
Daniel L. K. Yamins
SSL
30
11
0
28 May 2019
Countering Noisy Labels By Learning From Auxiliary Clean Labels
Countering Noisy Labels By Learning From Auxiliary Clean Labels
Tsung Wei Tsai
Chongxuan Li
Jun Zhu
SSL
10
1
0
23 May 2019
S4L: Self-Supervised Semi-Supervised Learning
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai
Avital Oliver
Alexander Kolesnikov
Lucas Beyer
SSL
VLM
43
786
0
09 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
37
2,986
0
06 May 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
362
11,700
0
09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
264
1,275
0
06 Mar 2017
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