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Learning More Universal Representations for Transfer-Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
27 December 2017
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
Abdalgader Abubaker
M. Tamaazousti
OOD
SSL
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Papers citing
"Learning More Universal Representations for Transfer-Learning"
21 / 21 papers shown
Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation
Nathaniel R. Dean
Dilip Sarkar
182
0
0
17 Jul 2024
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Grégoire Petit
Michael Soumm
Eva Feillet
Adrian Daniel Popescu
Bertrand Delezoide
David Picard
C´eline Hudelot
CLL
339
10
0
22 Aug 2023
Learning Semantic Ambiguities for Zero-Shot Learning
Multimedia tools and applications (MTA), 2022
Celina Hanouti
Hervé Le Borgne
VLM
256
9
0
05 Jan 2022
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images
Tianze Yu
Ieee Jianzhe Lin Student Member
Ieee Lichao Mou Student Member
Yuansheng Hua
Senior Member Ieee Xiaoxiang Zhu
F. I. Z. Jane Wang
147
8
0
15 Aug 2021
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units
Sara Meftah
N. Semmar
Y. Tamaazousti
H. Essafi
F. Sadat
180
3
0
09 Jun 2021
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
Abdallah Benzine
Abdalgader Abubaker
Julien Desmarais
3DPC
110
8
0
18 Feb 2021
A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah
Adrian Daniel Popescu
Ioannis Kanellos
CLL
431
242
0
03 Nov 2020
Latent Domain Learning with Dynamic Residual Adapters
Lucas Deecke
Timothy M. Hospedales
Hakan Bilen
129
8
0
01 Jun 2020
Micro-supervised Disturbance Learning: A Perspective of Representation Probability Distribution
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jielei Chu
Jing Liu
Hongjun Wang
Hua Meng
Zhiguo Gong
Tianrui Li
OOD
222
22
0
13 Mar 2020
Towards Universal Representation Learning for Deep Face Recognition
Computer Vision and Pattern Recognition (CVPR), 2020
Yichun Shi
Xiang Yu
Kihyuk Sohn
Manmohan Chandraker
Anil K. Jain
CVBM
OOD
302
162
0
26 Feb 2020
CRL: Class Representative Learning for Image Classification
Mayanka Chandrashekar
Yugyung Lee
VLM
201
1
0
16 Feb 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Eden Belouadah
Adrian Daniel Popescu
CLL
222
90
0
16 Jan 2020
Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting
International Conference on Information Photonics (ICIP), 2019
Ahmed Ben Saad
Y. Tamaazousti
J. Kherroubi
A. He
150
2
0
06 Nov 2019
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training
International Conference on Content-Based Multimedia Indexing (CBMI), 2019
Lucas Pascal
Xavier Bost
B. Huet
45
2
0
13 Sep 2019
Joint Learning of Pre-Trained and Random Units for Domain Adaptation in Part-of-Speech Tagging
Sara Meftah
Y. Tamaazousti
N. Semmar
H. Essafi
F. Sadat
148
10
0
07 Apr 2019
Enhanced Transfer Learning with ImageNet Trained Classification Layer
Tasfia Shermin
S. Teng
Manzur Murshed
Guojun Lu
Ferdous Sohel
Manoranjan Paul
136
1
0
25 Mar 2019
Generative Collaborative Networks for Single Image Super-Resolution
Abdalgader Abubaker
M. Tamaazousti
John Lin
GAN
SupR
143
10
0
27 Feb 2019
Can We Automate Diagrammatic Reasoning?
Pattern Recognition (Pattern Recognit.), 2019
Sk. Arif Ahmed
D. P. Dogra
S. Kar
P. Roy
D. Prasad
173
4
0
13 Feb 2019
Transfer Learning Using Classification Layer Features of CNN
Tasfia Shermin
Manzur Murshed
Guojun Lu
S. Teng
184
6
0
19 Nov 2018
Learning Finer-class Networks for Universal Representations
Julien Girard-Satabin
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
SSL
OOD
240
4
0
04 Oct 2018
DeeSIL: Deep-Shallow Incremental Learning
Eden Belouadah
Adrian Daniel Popescu
CLL
262
75
0
20 Aug 2018
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