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Universal representations:The missing link between faces, text,
  planktons, and cat breeds

Universal representations:The missing link between faces, text, planktons, and cat breeds

25 January 2017
Hakan Bilen
Andrea Vedaldi
ArXivPDFHTML

Papers citing "Universal representations:The missing link between faces, text, planktons, and cat breeds"

48 / 98 papers shown
Title
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao
Hao Zeng
Xin Qin
Yongjian Fu
Haibo Wang
Bourahla Omar
Xi Li
12
18
0
24 Jul 2020
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
27
125
0
21 Jun 2020
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for
  Biomedical Imaging
Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging
Bora Baydar
Savas Ozkan
A. Emre Kavur
N. Gezer
M. Alper Selver
G. Akar
OOD
11
0
0
08 Jun 2020
Latent Domain Learning with Dynamic Residual Adapters
Latent Domain Learning with Dynamic Residual Adapters
Lucas Deecke
Timothy M. Hospedales
Hakan Bilen
13
8
0
01 Jun 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende
Stamatios Georgoulis
Wouter Van Gansbeke
M. Proesmans
Dengxin Dai
Luc Van Gool
CVBM
14
72
0
28 Apr 2020
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D
  Object Pose Estimation in Color Images
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images
Juil Sock
Guillermo Garcia-Hernando
Anil Armagan
Tae-Kyun Kim
24
5
0
27 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
Nikita Dvornik
Cordelia Schmid
Julien Mairal
VLM
170
24
0
20 Mar 2020
Beyond without Forgetting: Multi-Task Learning for Classification with
  Disjoint Datasets
Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
16
5
0
15 Mar 2020
Towards Universal Representation Learning for Deep Face Recognition
Towards Universal Representation Learning for Deep Face Recognition
Yichun Shi
Xiang Yu
Kihyuk Sohn
Manmohan Chandraker
Anil K. Jain
CVBM
OOD
11
148
0
26 Feb 2020
CRL: Class Representative Learning for Image Classification
CRL: Class Representative Learning for Image Classification
Mayanka Chandrashekar
Yugyung Lee
VLM
13
1
0
16 Feb 2020
Regularizing activations in neural networks via distribution matching
  with the Wasserstein metric
Regularizing activations in neural networks via distribution matching with the Wasserstein metric
Taejong Joo
Donggu Kang
Byunghoon Kim
24
8
0
13 Feb 2020
Unpaired Multi-modal Segmentation via Knowledge Distillation
Unpaired Multi-modal Segmentation via Knowledge Distillation
Qi Dou
Quande Liu
Pheng Ann Heng
Ben Glocker
13
172
0
06 Jan 2020
Side-Tuning: A Baseline for Network Adaptation via Additive Side
  Networks
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
Jeffrey O. Zhang
Alexander Sax
Amir Zamir
Leonidas J. Guibas
Jitendra Malik
28
28
0
31 Dec 2019
Generalization in multitask deep neural classifiers: a statistical
  physics approach
Generalization in multitask deep neural classifiers: a statistical physics approach
Tyler Lee
A. Ndirango
AI4CE
14
20
0
30 Oct 2019
Label-efficient audio classification through multitask learning and
  self-supervision
Label-efficient audio classification through multitask learning and self-supervision
Tyler Lee
Ting Gong
Suchismita Padhy
Andrew Rouditchenko
A. Ndirango
SSL
VLM
20
7
0
19 Oct 2019
3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image
  Segmentation
3D U2^22-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
Chao Huang
Hu Han
Qingsong Yao
Shankuan Zhu
S. Kevin Zhou
OOD
SSeg
24
71
0
04 Sep 2019
Meta-Learning with Warped Gradient Descent
Meta-Learning with Warped Gradient Descent
Sebastian Flennerhag
Andrei A. Rusu
Razvan Pascanu
Francesco Visin
Hujun Yin
R. Hadsell
6
209
0
30 Aug 2019
A Survey of Deep Learning-based Object Detection
A Survey of Deep Learning-based Object Detection
L. Jiao
Fan Zhang
Fang Liu
Shuyuan Yang
Lingling Li
Zhixi Feng
Rong Qu
ObjD
31
960
0
11 Jul 2019
Learning to Optimize Domain Specific Normalization for Domain
  Generalization
Learning to Optimize Domain Specific Normalization for Domain Generalization
Seonguk Seo
Yumin Suh
Dongwan Kim
Geeho Kim
Jongwoo Han
Bohyung Han
AI4CE
25
243
0
09 Jul 2019
Efficient Multi-Domain Network Learning by Covariance Normalization
Efficient Multi-Domain Network Learning by Covariance Normalization
Yunsheng Li
Nuno Vasconcelos
OOD
17
32
0
24 Jun 2019
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy
  for Multi-Task Learning
MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning
Sumanth Chennupati
Ganesh Sistu
S. Yogamani
S. Rawashdeh
17
91
0
15 Apr 2019
Incremental multi-domain learning with network latent tensor
  factorization
Incremental multi-domain learning with network latent tensor factorization
Adrian Bulat
Jean Kossaifi
Georgios Tzimiropoulos
M. Pantic
CLL
11
34
0
12 Apr 2019
Towards Universal Object Detection by Domain Attention
Towards Universal Object Detection by Domain Attention
Xudong Wang
Zhaowei Cai
Dashan Gao
Nuno Vasconcelos
OOD
9
193
0
09 Apr 2019
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots
Fabio Cermelli
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
24
3
0
01 Apr 2019
NeurAll: Towards a Unified Visual Perception Model for Automated Driving
NeurAll: Towards a Unified Visual Perception Model for Automated Driving
Ganesh Sistu
Isabelle Leang
Sumanth Chennupati
S. Yogamani
Ciarán Hughes
Stefan Milz
S. Rawashdeh
20
26
0
10 Feb 2019
Depthwise Convolution is All You Need for Learning Multiple Visual
  Domains
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
OOD
13
145
0
03 Feb 2019
Episodic Training for Domain Generalization
Episodic Training for Domain Generalization
Da Li
Jianshu Zhang
Yongxin Yang
Cong Liu
Yi-Zhe Song
Timothy M. Hospedales
OOD
31
444
0
31 Jan 2019
Domain Attentive Fusion for End-to-end Dialect Identification with
  Unknown Target Domain
Domain Attentive Fusion for End-to-end Dialect Identification with Unknown Target Domain
Suwon Shon
Ahmed M. Ali
James R. Glass
12
7
0
04 Dec 2018
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
31
444
0
21 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
27
4
0
04 Oct 2018
Data-driven model for the identification of the rock type at a drilling
  bit
Data-driven model for the identification of the rock type at a drilling bit
Nikita Klyuchnikov
Alexey Zaytsev
A. Gruzdev
Georgiy Ovchinnikov
Ksenia Antipova
...
V. Koryabkin
I. Simon
A. Tsurgan
Fedor V Krasnov
D. Koroteev
11
55
0
08 Jun 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
11
119
0
25 May 2018
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and
  Odometry
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry
Noha Radwan
Abhinav Valada
Wolfram Burgard
62
240
0
23 Apr 2018
Efficient parametrization of multi-domain deep neural networks
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
9
361
0
27 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks
Evolutionary Architecture Search For Deep Multitask Networks
J. Liang
Elliot Meyerson
Risto Miikkulainen
17
120
0
10 Mar 2018
Deep Auxiliary Learning for Visual Localization and Odometry
Deep Auxiliary Learning for Visual Localization and Odometry
Abhinav Valada
Noha Radwan
Wolfram Burgard
SSL
10
241
0
09 Mar 2018
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks
Dong-Jin Kim
Jinsoo Choi
Tae-Hyun Oh
Youngjin Yoon
In So Kweon
13
27
0
14 Feb 2018
Learning More Universal Representations for Transfer-Learning
Learning More Universal Representations for Transfer-Learning
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
M. Seddik
M. Tamaazousti
OOD
SSL
11
57
0
27 Dec 2017
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training
Jianshu Li
Shengtao Xiao
Fang Zhao
Jian-jun Zhao
Jianan Li
Jiashi Feng
Shuicheng Yan
Terence Sim
CVBM
48
19
0
16 Nov 2017
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
15
85
0
15 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
38
1,254
0
07 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer
  Ordering
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson
Risto Miikkulainen
MoE
19
92
0
31 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
17
1,386
0
10 Oct 2017
Learning multiple visual domains with residual adapters
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi
Hakan Bilen
Andrea Vedaldi
OOD
10
917
0
22 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
11
275
0
11 May 2017
Deep convolutional filter banks for texture recognition and segmentation
Deep convolutional filter banks for texture recognition and segmentation
Mircea Cimpoi
Subhransu Maji
Andrea Vedaldi
3DV
34
53
0
25 Nov 2014
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
X. Wang
David Fouhey
Abhinav Gupta
3DV
SSL
154
353
0
18 Nov 2014
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