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

7 September 2016

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

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Generative Modeling for Multi-task Visual Learning Zhipeng Bao M. Hebert Yu-xiong Wang 22 17 0 25 Jun 2021
Joint Learning of Portrait Intrinsic Decomposition and Relighting Mona Zehni Shaon Ghosh K. Sridhar Sethu Raman 3DH 32 3 0 22 Jun 2021
Heterogeneous Multi-task Learning with Expert Diversity Raquel Y. S. Aoki Frederick Tung Gabriel L. Oliveira MoE 39 22 0 20 Jun 2021
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework Pavan Kumar Anasosalu Vasu Shreyas Saxena Oncel Tuzel 16 5 0 11 Jun 2021
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition Zekai Chen Xiao Zhang Haochao Ying 33 11 0 18 May 2021
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings Athanasios Efthymiou S. Rudinac Monika Kackovic M. Worring N. Wijnberg 30 11 0 17 May 2021
3D Spatial Recognition without Spatially Labeled 3D Zhongzheng Ren Ishan Misra A. Schwing Rohit Girdhar 3DPC 27 57 0 13 May 2021
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study D. Kollias V. Sharmanska S. Zafeiriou CVBM 35 221 0 08 May 2021
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations Pongpisit Thanasutives M. Numao Ken-ichi Fukui AI4CE 30 24 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Exploring Relational Context for Multi-Task Dense Prediction David Brüggemann Menelaos Kanakis Anton Obukhov Stamatios Georgoulis Luc Van Gool 38 73 0 28 Apr 2021
DeepSatData: Building large scale datasets of satellite images for training machine learning models Michail Tarasiou S. Zafeiriou 22 3 0 28 Apr 2021
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 Wenliang Dai Samuel Cahyawijaya Yejin Bang Pascale Fung CVBM 36 11 0 23 Apr 2021
Semiotic Aggregation in Deep Learning Bogdan Musat Razvan Andonie FAtt 17 6 0 22 Apr 2021
Panoptic Segmentation Forecasting Colin Graber Grace Tsai Michael Firman Gabriel J. Brostow A. Schwing 41 12 0 08 Apr 2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation Shubhankar Borse Ying Wang Yizhe Zhang Fatih Porikli 19 113 0 06 Apr 2021
Towards General Purpose Vision Systems Tanmay Gupta Amita Kamath Aniruddha Kembhavi Derek Hoiem 11 50 0 01 Apr 2021
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations Yang Tan Yang Li Shao-Lun Huang OT OOD OODD 25 70 0 25 Mar 2021
STEP: Segmenting and Tracking Every Pixel Mark Weber Jun Xie Maxwell D. Collins Yukun Zhu P. Voigtlaender ... Bastian Leibe Daniel Cremers Aljosa Osep Laura Leal-Taixé Liang-Chieh Chen VOS 19 75 0 23 Feb 2021
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving Varun Ravi Kumar S. Yogamani Hazem Rashed Ganesh Sitsu Christian Witt Isabelle Leang Stefan Milz Patrick Mäder 39 90 0 15 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 182 0 11 Feb 2021
Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation Rawal Khirodkar Visesh Chari Amit Agrawal A. Tyagi 19 66 0 27 Jan 2021
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 24 115 0 02 Jan 2021
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation Gengwei Zhang Yiming Gao Hang Xu Hao Zhang Zhenguo Li Xiaodan Liang SSeg 49 5 0 07 Dec 2020
Detecting 32 Pedestrian Attributes for Autonomous Vehicles Taylor Mordan Matthieu Cord P. Pérez Alexandre Alahi 24 22 0 04 Dec 2020
Multi-Task Adversarial Attack Pengxin Guo Yuancheng Xu Baijiong Lin Yu Zhang AAML 36 8 0 19 Nov 2020
Your "Flamingo" is My "Bird": Fine-Grained, or Not Dongliang Chang Kaiyue Pang Yixiao Zheng Zhanyu Ma Yi-Zhe Song Jun Guo 33 1 0 18 Nov 2020
Meta-learning Transferable Representations with a Single Target Domain Hong Liu Jeff Z. HaoChen Colin Wei Tengyu Ma AAML 43 5 0 03 Nov 2020
Surgical Data Science -- from Concepts toward Clinical Translation Lena Maier-Hein Matthias Eisenmann Duygu Sarikaya Keno Marz Toby Collins ... D. Teber F. Uckert Beat P. Müller-Stich Pierre Jannin Stefanie Speidel AI4CE 25 223 0 30 Oct 2020
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
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction Jaehoon Choi Dongki Jung Dong-hwan Lee Changick Kim MDE 17 1 0 06 Oct 2020
Automated Search for Resource-Efficient Branched Multi-Task Networks David Brüggemann Menelaos Kanakis Stamatios Georgoulis Luc Van Gool 10 65 0 24 Aug 2020
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks Chengcheng Wan H. Hoffmann Shan Lu Michael Maire OOD 45 11 0 15 Aug 2020
What Should Not Be Contrastive in Contrastive Learning Tete Xiao Xiaolong Wang Alexei A. Efros Trevor Darrell SSL DRL 35 298 0 13 Aug 2020
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain Jonghwa Yim Sang Hwan Kim 21 2 0 05 Aug 2020
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization Mara Graziani Sebastian Otalora Stephane Marchand-Maillet Henning Muller Vincent Andrearczyk AAML MedIm 24 0 0 04 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 30 72 0 24 Jul 2020
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
Partially Supervised Multi-Task Network for Single-View Dietary Assessment Ya Lu Thomai Stathopoulou S. Mougiakakou 9 14 0 15 Jul 2020
Knowledge Distillation for Multi-task Learning Weihong Li Hakan Bilen MoMe 8 71 0 14 Jul 2020
Nested Learning For Multi-Granular Tasks Raphaël Achddou J. Matias Di Martino Guillermo Sapiro 14 1 0 13 Jul 2020
A Brief Review of Deep Multi-task Learning and Auxiliary Task Learning Partoo Vafaeikia Khashayar Namdar Farzad Khalvati MoMe 6 44 0 02 Jul 2020
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric Arindam Das P. Krízek Ganesh Sistu Fabian Burger Sankaralingam Madasamy Michal Uřičář V. Kumar S. Yogamani 15 22 0 01 Jul 2020
Efficient Continuous Pareto Exploration in Multi-Task Learning Pingchuan Ma Tao Du Wojciech Matusik 10 86 0 29 Jun 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 31 31 0 17 Jun 2020
Robust Learning Through Cross-Task Consistency Amir Zamir Alexander Sax Teresa Yeo Oğuzhan Fatih Kar Nikhil Cheerla Rohan Suri Zhangjie Cao Jitendra Malik Leonidas J. Guibas OOD 6 154 0 07 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 18 174 0 02 Jun 2020
Multitask Learning with Single Gradient Step Update for Task Balancing Sungjae Lee Youngdoo Son 32 22 0 20 May 2020