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UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory

UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory

7 September 2016
Iasonas Kokkinos
    SSeg
    SSL
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Papers citing "UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory"

50 / 120 papers shown
Title
Improved optimization strategies for deep Multi-Task Networks
Improved optimization strategies for deep Multi-Task Networks
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
27
6
0
21 Sep 2021
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
Firoj Alam
Tanvirul Alam
Md. Arid Hasan
A. Hasnat
Muhammad Imran
Ferda Ofli
VLM
20
51
0
29 Aug 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Tsung-Yi Lin
SSL
24
100
0
25 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
Pixel Difference Networks for Efficient Edge Detection
Pixel Difference Networks for Efficient Edge Detection
Z. Su
Wenzhe Liu
Zitong Yu
D. Hu
Qing Liao
Qi Tian
M. Pietikäinen
Li Liu
42
317
0
16 Aug 2021
Learning More for Free - A Multi Task Learning Approach for Improved
  Pathology Classification in Capsule Endoscopy
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
Anuja Vats
Marius Pedersen
A. Mohammed
Ø. Hovde
12
7
0
30 Jun 2021
Heterogeneous Multi-task Learning with Expert Diversity
Heterogeneous Multi-task Learning with Expert Diversity
Raquel Y. S. Aoki
Frederick Tung
Gabriel L. Oliveira
MoE
31
22
0
20 Jun 2021
Adversarial Multi-task Learning Enhanced Physics-informed Neural
  Networks for Solving Partial Differential Equations
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
Pongpisit Thanasutives
M. Numao
Ken-ichi Fukui
AI4CE
16
24
0
29 Apr 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth
  Estimation
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
Qin Wang
Dengxin Dai
Lukas Hoyer
Luc Van Gool
Olga Fink
OOD
MDE
53
139
0
28 Apr 2021
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Wenliang Dai
Samuel Cahyawijaya
Yejin Bang
Pascale Fung
CVBM
28
11
0
23 Apr 2021
Towards General Purpose Vision Systems
Towards General Purpose Vision Systems
Tanmay Gupta
Amita Kamath
Aniruddha Kembhavi
Derek Hoiem
11
49
0
01 Apr 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
22
115
0
02 Jan 2021
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Taylor Mordan
Matthieu Cord
P. Pérez
Alexandre Alahi
24
22
0
04 Dec 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign
  Dropout
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen
Jiquan Ngiam
Yanping Huang
Thang Luong
Henrik Kretzschmar
Yuning Chai
Dragomir Anguelov
41
206
0
14 Oct 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSL
DRL
21
298
0
13 Aug 2020
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
Jonghwa Yim
Sang Hwan Kim
19
2
0
05 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning
  without Task Interference
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
22
72
0
24 Jul 2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Xiangtai Li
Xia Li
Li Zhang
Guangliang Cheng
Jianping Shi
Zhouchen Lin
Shaohua Tan
Yunhai Tong
20
255
0
20 Jul 2020
Maximum Roaming Multi-Task Learning
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
23
31
0
17 Jun 2020
Learning to Branch for Multi-Task Learning
Learning to Branch for Multi-Task Learning
Pengsheng Guo
Chen-Yu Lee
Daniel Ulbricht
13
174
0
02 Jun 2020
Understanding and Improving Information Transfer in Multi-Task Learning
Understanding and Improving Information Transfer in Multi-Task Learning
Sen Wu
Hongyang R. Zhang
Christopher Ré
18
154
0
02 May 2020
TTNet: Real-time temporal and spatial video analysis of table tennis
TTNet: Real-time temporal and spatial video analysis of table tennis
Roman Voeikov
Nikolay S Falaleev
Ruslan Baikulov
ViT
19
79
0
21 Apr 2020
Spatial Information Guided Convolution for Real-Time RGBD Semantic
  Segmentation
Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
Lin-Zhuo Chen
Zheng Lin
Ziqin Wang
Yong-Liang Yang
Ming-Ming Cheng
3DPC
13
120
0
09 Apr 2020
Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D
  Human Pose Estimation
Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation
Zhe Wang
Daeyun Shin
Charless C. Fowlkes
16
53
0
07 Apr 2020
FairMOT: On the Fairness of Detection and Re-Identification in Multiple
  Object Tracking
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking
Yifu Zhang
Chunyu Wang
Xinggang Wang
Wenjun Zeng
Wenyu Liu
VOT
34
1,303
0
04 Apr 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
27
174
0
30 Mar 2020
Cross-modal Deep Face Normals with Deactivable Skip Connections
Cross-modal Deep Face Normals with Deactivable Skip Connections
Victoria Fernandez-Abrevaya
A. Boukhayma
Philip H. S. Torr
Edmond Boyer
CVBM
40
41
0
21 Mar 2020
MPM: Joint Representation of Motion and Position Map for Cell Tracking
MPM: Joint Representation of Motion and Position Map for Cell Tracking
Junya Hayashida
Kazuya Nishimura
Ryoma Bise
VOT
27
31
0
25 Feb 2020
Face Behavior a la carte: Expressions, Affect and Action Units in a
  Single Network
Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network
D. Kollias
V. Sharmanska
Ki-young Shin
CVBM
27
213
0
15 Oct 2019
Panoptic-DeepLab
Panoptic-DeepLab
Bowen Cheng
Maxwell D. Collins
Yukun Zhu
Ting Liu
Thomas S. Huang
Hartwig Adam
Liang-Chieh Chen
18
605
0
10 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
15
168
0
08 Oct 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and
  Generalist Convolution Kernels
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
Felix J. S. Bragman
Ryutaro Tanno
Sebastien Ourselin
Daniel C. Alexander
M. Jorge Cardoso
24
86
0
26 Aug 2019
Transferability and Hardness of Supervised Classification Tasks
Transferability and Hardness of Supervised Classification Tasks
Anh Tran
Cuong V Nguyen
Tal Hassner
134
164
0
21 Aug 2019
Boosting Few-Shot Visual Learning with Self-Supervision
Boosting Few-Shot Visual Learning with Self-Supervision
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
17
400
0
12 Jun 2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic
  Segmentation
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
Zhenyu Zhang
Zhen Cui
Chunyan Xu
Yan Yan
N. Sebe
Jian Yang
MDE
17
280
0
08 Jun 2019
DualDis: Dual-Branch Disentangling with Adversarial Learning
DualDis: Dual-Branch Disentangling with Adversarial Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
CoGe
DRL
22
4
0
03 Jun 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas J. Guibas
Jitendra Malik
Silvio Savarese
13
502
0
18 May 2019
Attentive Single-Tasking of Multiple Tasks
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
72
243
0
18 Apr 2019
Learning Across Tasks and Domains
Learning Across Tasks and Domains
Pierluigi Zama Ramirez
A. Tonioni
Samuele Salti
Luigi Di Stefano
16
32
0
09 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
Many Task Learning with Task Routing
Many Task Learning with Task Routing
Gjorgji Strezoski
N. V. Noord
M. Worring
MoE
16
96
0
28 Mar 2019
An End-to-End Network for Panoptic Segmentation
An End-to-End Network for Panoptic Segmentation
Huanyu Liu
Chao Peng
Changqian Yu
Jingbo Wang
Xuantong Liu
Gang Yu
Wei Jiang
ISeg
16
148
0
12 Mar 2019
MultiGrain: a unified image embedding for classes and instances
MultiGrain: a unified image embedding for classes and instances
Maxim Berman
Hervé Jégou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
15
110
0
14 Feb 2019
Learning to Fuse Things and Stuff
Learning to Fuse Things and Stuff
Jie Li
Allan Raventos
Arjun Bhargava
Takaaki Tagawa
Adrien Gaidon
25
104
0
04 Dec 2018
Fast Context Adaptation via Meta-Learning
Fast Context Adaptation via Meta-Learning
L. Zintgraf
K. Shiarlis
Vitaly Kurin
Katja Hofmann
Shimon Whiteson
18
37
0
08 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
Triply Supervised Decoder Networks for Joint Detection and Segmentation
Triply Supervised Decoder Networks for Joint Detection and Segmentation
Jiale Cao
Yanwei Pang
Xuelong Li
15
62
0
25 Sep 2018
Real-Time Joint Semantic Segmentation and Depth Estimation Using
  Asymmetric Annotations
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
Vladimir Nekrasov
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
Chunhua Shen
Ian Reid
21
148
0
13 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
18
123
0
10 Sep 2018
A Modulation Module for Multi-task Learning with Applications in Image
  Retrieval
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Xiangyu Zhao
Haoxiang Li
Xiaohui Shen
Xiaodan Liang
Ying Nian Wu
12
137
0
17 Jul 2018
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