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Learning multiple visual domains with residual adapters

Learning multiple visual domains with residual adapters

22 May 2017
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
    OOD
ArXivPDFHTML

Papers citing "Learning multiple visual domains with residual adapters"

15 / 215 papers shown
Title
SpotTune: Transfer Learning through Adaptive Fine-tuning
SpotTune: Transfer Learning through Adaptive Fine-tuning
Yunhui Guo
Humphrey Shi
Abhishek Kumar
Kristen Grauman
Tajana Simunic
Rogerio Feris
36
445
0
21 Nov 2018
Towards continual learning in medical imaging
Towards continual learning in medical imaging
Chaitanya Baweja
Ben Glocker
Konstantinos Kamnitsas
CLL
26
56
0
06 Nov 2018
Mode Normalization
Mode Normalization
Lucas Deecke
Iain Murray
Hakan Bilen
OOD
29
33
0
12 Oct 2018
Learning Finer-class Networks for Universal Representations
Learning Finer-class Networks for Universal Representations
Julien Girard-Satabin
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
SSL
OOD
34
4
0
04 Oct 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
74
2,422
0
06 Sep 2018
Training Faster by Separating Modes of Variation in Batch-normalized
  Models
Training Faster by Separating Modes of Variation in Batch-normalized Models
Mahdi M. Kalayeh
M. Shah
27
42
0
07 Jun 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
25
51
0
28 May 2018
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners
  and Protocols
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols
Neerav Karani
K. Chaitanya
Christian F. Baumgartner
E. Konukoglu
38
119
0
25 May 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
Feng Yu
Haofeng Chen
Xin Wang
Wenqi Xian
Yingying Chen
Fangchen Liu
Vashisht Madhavan
Trevor Darrell
VLM
72
2,090
0
12 May 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask
  Sharing---and Back
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back
Elliot Meyerson
Risto Miikkulainen
25
45
0
11 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
39
120
0
10 Mar 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While
  Learning Next to Nothing
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld
John K. Tsotsos
MLT
32
51
0
02 Feb 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to
  Mask Weights
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Arun Mallya
Dillon Davis
Svetlana Lazebnik
CLL
15
35
0
19 Jan 2018
People, Penguins and Petri Dishes: Adapting Object Counting Models To
  New Visual Domains And Object Types Without Forgetting
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting
Mark A Marsden
Kevin McGuinness
Suzanne Little
Ciara E. Keogh
Noel E. O'Connor
29
85
0
15 Nov 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
19
275
0
11 May 2017
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