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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 / 357 papers shown
Title
Efficient Image Gallery Representations at Scale Through Multi-Task
  Learning
Efficient Image Gallery Representations at Scale Through Multi-Task Learning
Benjamin Gutelman
Pavel Levin
17
3
0
18 May 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
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for
  Offensive Language Detection
Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-Task Learning for Offensive Language Detection
Wenliang Dai
Tiezheng Yu
Zihan Liu
Pascale Fung
6
35
0
28 Apr 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
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
29
72
0
28 Apr 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
LSM: Learning Subspace Minimization for Low-level Vision
LSM: Learning Subspace Minimization for Low-level Vision
Chengzhou Tang
Lu Yuan
P. Tan
20
14
0
20 Apr 2020
Dynamic Feature Integration for Simultaneous Detection of Salient
  Object, Edge and Skeleton
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton
Jiangjiang Liu
Qibin Hou
Ming-Ming Cheng
ObjD
24
125
0
18 Apr 2020
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised
  Object Detection
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Zhongzheng Ren
Zhiding Yu
Xiaodong Yang
Xuan Li
Yong Jae Lee
A. Schwing
Jan Kautz
WSOD
24
198
0
09 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
18
121
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
18
54
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
1,305
0
04 Apr 2020
Context-Aware Multi-Task Learning for Traffic Scene Recognition in
  Autonomous Vehicles
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles
Younkwan Lee
Ji-Kwang Jeon
Jongmin Yu
M. Jeon
10
7
0
03 Apr 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards
  General-Purpose Multi-Task Learning
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Yuan Gao
Haoping Bai
Zequn Jie
Jiayi Ma
Kui Jia
Wei Liu
19
94
0
31 Mar 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
27
176
0
30 Mar 2020
Adversarial Attacks on Monocular Depth Estimation
Adversarial Attacks on Monocular Depth Estimation
Ziqi Zhang
Xinge Zhu
Yingwei Li
Xiangqun Chen
Yao Guo
AAML
MDE
30
25
0
23 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 Torr
Edmond Boyer
CVBM
48
41
0
21 Mar 2020
Multi-task Collaborative Network for Joint Referring Expression
  Comprehension and Segmentation
Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation
Gen Luo
Yiyi Zhou
Xiaoshuai Sun
Liujuan Cao
Chenglin Wu
Cheng Deng
Rongrong Ji
ObjD
185
286
0
19 Mar 2020
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time
  Instrument Detection and Segmentation in Robot-assisted Surgery
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery
Mobarakol Islam
V. Vibashan
Hongliang Ren
32
28
0
10 Mar 2020
Hierarchically Decoupled Imitation for Morphological Transfer
Hierarchically Decoupled Imitation for Morphological Transfer
D. Hejna
Pieter Abbeel
Lerrel Pinto
LM&Ro
25
40
0
03 Mar 2020
Generalized Hindsight for Reinforcement Learning
Generalized Hindsight for Reinforcement Learning
Alexander C. Li
Lerrel Pinto
Pieter Abbeel
27
69
0
26 Feb 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
32
31
0
25 Feb 2020
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame
  Attention
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Donghyun Kim
Tian-Shing Lan
Chuhang Zou
N. Xu
Bryan A. Plummer
Stan Sclaroff
J. Eledath
Gérard Medioni
11
3
0
18 Feb 2020
CRL: Class Representative Learning for Image Classification
CRL: Class Representative Learning for Image Classification
Mayanka Chandrashekar
Yugyung Lee
VLM
18
1
0
16 Feb 2020
Multi-Task Learning by a Top-Down Control Network
Multi-Task Learning by a Top-Down Control Network
Hila Levi
S. Ullman
15
7
0
09 Feb 2020
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
20
216
0
19 Jan 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
41
1,172
0
19 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous
  Driving Systems
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang
Ganesh Sistu
Fabian Burger
Andrei Bursuc
S. Yogamani
25
52
0
07 Jan 2020
Pareto Multi-Task Learning
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
25
341
0
30 Dec 2019
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and
  Action Recognition
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
D. Luvizon
Hedi Tabia
David Picard
3DH
27
115
0
15 Dec 2019
12-in-1: Multi-Task Vision and Language Representation Learning
12-in-1: Multi-Task Vision and Language Representation Learning
Jiasen Lu
Vedanuj Goswami
Marcus Rohrbach
Devi Parikh
Stefan Lee
VLM
ObjD
40
476
0
05 Dec 2019
Unlocking the Full Potential of Small Data with Diverse Supervision
Unlocking the Full Potential of Small Data with Diverse Supervision
Ziqi Pang
Zhiyuan Hu
P. Tokmakov
Yu-xiong Wang
M. Hebert
8
0
0
29 Nov 2019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun
Yikang Shen
Rogerio Feris
Kate Saenko
23
260
0
27 Nov 2019
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
35
213
0
15 Oct 2019
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network
  Inference Using Approximate DRAM
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM
Skanda Koppula
Lois Orosa
A. G. Yaglikçi
Roknoddin Azizi
Taha Shahroodi
Konstantinos Kanellopoulos
O. Mutlu
24
105
0
12 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
Multi-Stage Pathological Image Classification using Semantic
  Segmentation
Multi-Stage Pathological Image Classification using Semantic Segmentation
Shusuke Takahama
Y. Kurose
Yusuke Mukuta
Hiroyuki Abe
M. Fukayama
Akihiko Yoshizawa
M. Kitagawa
Tatsuya Harada
12
48
0
10 Oct 2019
Learning to Generalize One Sample at a Time with Self-Supervision
Learning to Generalize One Sample at a Time with Self-Supervision
A. DÍnnocente
S. Bucci
Barbara Caputo
Tatiana Tommasi
SSL
OOD
14
4
0
09 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
28
168
0
08 Oct 2019
Continual Learning in Neural Networks
Continual Learning in Neural Networks
Rahaf Aljundi
CLL
27
33
0
07 Oct 2019
Multitask Learning to Improve Egocentric Action Recognition
Multitask Learning to Improve Egocentric Action Recognition
G. Kapidis
R. Poppe
E. V. Dam
L. Noldus
R. Veltkamp
EgoV
27
36
0
15 Sep 2019
Disentangled Image Matting
Disentangled Image Matting
Shaofan Cai
Xiaoshuai Zhang
Haoqiang Fan
Haibin Huang
Jiangyu Liu
Jiaming Liu
Jiaying Liu
Jue Wang
Jian Sun
78
116
0
10 Sep 2019
Joint Learning of Saliency Detection and Weakly Supervised Semantic
  Segmentation
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
Yu Zeng
Yunzhi Zhuge
Huchuan Lu
Lihe Zhang
15
177
0
09 Sep 2019
Auxiliary Learning for Deep Multi-task Learning
Auxiliary Learning for Deep Multi-task Learning
Yifan Liu
Bohan Zhuang
Chunhua Shen
Hao Chen
Wei Yin
MoE
27
10
0
05 Sep 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
Assessing Knee OA Severity with CNN attention-based end-to-end
  architectures
Assessing Knee OA Severity with CNN attention-based end-to-end architectures
Marc Górriz
Joseph Antony
Kevin McGuinness
Xavier Giró-i-Nieto
Noel E. O'Connor
MedIm
26
46
0
23 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
Task-Assisted Domain Adaptation with Anchor Tasks
Task-Assisted Domain Adaptation with Anchor Tasks
Zhizhong Li
Linjie Luo
Sergey Tulyakov
Qieyun Dai
Derek Hoiem
CVBM
21
0
0
16 Aug 2019
3D Virtual Garment Modeling from RGB Images
3D Virtual Garment Modeling from RGB Images
Yi Tian Xu
Shanglin Yang
Wei Sun
Li Tan
Kefeng Li
Hui Zhou
3DH
24
28
0
31 Jul 2019
News Cover Assessment via Multi-task Learning
News Cover Assessment via Multi-task Learning
Zixun Sun
Shuang Zhao
Chengwei Zhu
Xiao Chen
6
0
0
17 Jul 2019
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
Towaki Takikawa
David Acuna
Varun Jampani
Sanja Fidler
35
606
0
12 Jul 2019
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