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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Title
Beyond Transfer Learning: Co-finetuning for Action Localisation Anurag Arnab Xuehan Xiong A. Gritsenko Rob Romijnders Josip Djolonga Mostafa Dehghani Chen Sun Mario Lucic Cordelia Schmid 38 8 0 08 Jul 2022
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth Nitin Bansal Pan Ji Junsong Yuan Yi Tian Xu MDE 31 3 0 21 Jun 2022
Cross-task Attention Mechanism for Dense Multi-task Learning Ivan Lopes Tuan-Hung Vu Raoul de Charette 22 26 0 17 Jun 2022
A Unified Sequence Interface for Vision Tasks Ting-Li Chen Saurabh Saxena Lala Li Nayeon Lee David J. Fleet Geoffrey E. Hinton VLM MLLM 19 148 0 15 Jun 2022
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields Mingtong Zhang Shuhong Zheng Zhipeng Bao M. Hebert Yu-xiong Wang 24 12 0 09 Jun 2022
Real-Time Video Deblurring via Lightweight Motion Compensation Hyeongseok Son Junyong Lee Sunghyun Cho Seungyong Lee 6 5 0 25 May 2022
MulT: An End-to-End Multitask Learning Transformer Deblina Bhattacharjee Tong Zhang Sabine Süsstrunk Mathieu Salzmann ViT 42 63 0 17 May 2022
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring Nikolas Ebert Patrick Mangat Oliver Wasenmüller 24 6 0 03 May 2022
Continual Learning with Foundation Models: An Empirical Study of Latent Replay O. Ostapenko Timothée Lesort P. Rodríguez Md Rifat Arefin Arthur Douillard Irina Rish Laurent Charlin 37 51 0 30 Apr 2022
Medusa: Universal Feature Learning via Attentional Multitasking Jaime Spencer Richard Bowden Simon Hadfield CLL 36 1 0 12 Apr 2022
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition Yang Li Ji Chen Fu Li Boxun Fu Hao Wu Youshuo Ji Yijing Zhou Yi Niu Guangming Shi Wenming Zheng SSL 30 91 0 12 Apr 2022
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification Hyungtae Lee Sungmin Eum H. Kwon 30 22 0 07 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders Roman Bachmann David Mizrahi Andrei Atanov Amir Zamir 47 265 0 04 Apr 2022
Task Adaptive Parameter Sharing for Multi-Task Learning Matthew Wallingford Hao Li Alessandro Achille Avinash Ravichandran Charless C. Fowlkes Rahul Bhotika Stefano Soatto MoMe 27 59 0 30 Mar 2022
Controllable Dynamic Multi-Task Architectures Dripta S. Raychaudhuri Yumin Suh S. Schulter Xiang Yu M. Faraki A. Roy-Chowdhury Manmohan Chandraker 24 32 0 28 Mar 2022
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing Qi Zheng Jiankang Deng Zheng Hua Zhu Ying Li S. Zafeiriou CVBM 14 28 0 28 Mar 2022
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search A. C. Yüzügüler Nikolaos Dimitriadis P. Frossard 16 2 0 23 Mar 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 30 19 0 23 Mar 2022
Transframer: Arbitrary Frame Prediction with Generative Models C. Nash João Carreira Jacob Walker Iain Barr Andrew Jaegle Mateusz Malinowski Peter W. Battaglia ViT 27 37 0 17 Mar 2022
ASC me to Do Anything: Multi-task Training for Embodied AI Jiasen Lu Jordi Salvador Roozbeh Mottaghi Aniruddha Kembhavi 41 3 0 14 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 39 75 0 07 Feb 2022
Multi-task head pose estimation in-the-wild Roberto Valle J. M. Buenaposada Luis Baumela CVBM 18 67 0 04 Feb 2022
Multi-Order Networks for Action Unit Detection Gauthier Tallec Arnaud Dapogny Kévin Bailly CVBM 22 12 0 01 Feb 2022
Attentive Task Interaction Network for Multi-Task Learning Dimitrios Sinodinos Narges Armanfard AIMat 23 2 0 25 Jan 2022
Omnivore: A Single Model for Many Visual Modalities Rohit Girdhar Mannat Singh Nikhil Ravi L. V. D. van der Maaten Armand Joulin Ishan Misra 226 226 0 20 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 39 74 0 11 Jan 2022
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images Prithviraj Dhar Amit Kumar Kirsten Kaplan Khushi Gupta Rakesh Ranjan Ramalingam Chellappa AAML 16 11 0 22 Dec 2021
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery Mobarakol Islam V. Vibashan C. Lim Hongliang Ren 28 40 0 10 Dec 2021
Optimizing Edge Detection for Image Segmentation with Multicut Penalties Steffen Jung Sebastian Ziegler Amirhossein Kardoost M. Keuper 30 4 0 10 Dec 2021
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction Yikai Wang Gang Hua Wenbing Huang Fengxiang He Dacheng Tao 54 29 0 04 Dec 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio Valerii Likhosherstov Anurag Arnab K. Choromanski Mario Lucic Yi Tay Adrian Weller Mostafa Dehghani ViT 35 73 0 25 Nov 2021
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning Lijun Zhang Xiao Liu Hui Guan 23 21 0 25 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation Sumanth Chennupati Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen 26 4 0 19 Oct 2021
Semi-supervised Multi-task Learning for Semantics and Depth Yufeng Wang Yi-Hsuan Tsai Wei-Chih Hung Wenrui Ding Shuo Liu Ming-Hsuan Yang 31 18 0 14 Oct 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 36 25 0 13 Oct 2021
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart Cesar Cadena 36 12 0 06 Oct 2021
Fast Line Search for Multi-Task Learning A. Filatov D. Merkulov 19 0 0 02 Oct 2021
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 35 6 0 21 Sep 2021
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer Hongruixuan Chen Chen Wu Yonghao Xu Bo Du 23 9 0 18 Sep 2021
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification Firoj Alam Tanvirul Alam Md. Arid Hasan A. Hasnat Muhammad Imran Ferda Ofli VLM 28 51 0 29 Aug 2021
Multi-Task Self-Training for Learning General Representations Golnaz Ghiasi Barret Zoph E. D. Cubuk Quoc V. Le Nayeon Lee SSL 24 100 0 25 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across Visual Domains Antono DÍnnocente OOD 33 0 0 20 Aug 2021
Collaboration Equilibrium in Federated Learning Sen Cui Jian Liang Weishen Pan Kun Chen Changshui Zhang Fei Wang FedML 27 23 0 18 Aug 2021
Pixel Difference Networks for Efficient Edge Detection Z. Su Wenzhe Liu Zitong Yu D. Hu Qing Liao Qi Tian M. Pietikäinen Li Liu 51 317 0 16 Aug 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs Andrew Jaegle Sebastian Borgeaud Jean-Baptiste Alayrac Carl Doersch Catalin Ionescu ... Olivier J. Hénaff M. Botvinick Andrew Zisserman Oriol Vinyals João Carreira MLLM VLM GNN 20 567 0 30 Jul 2021
Exceeding the Limits of Visual-Linguistic Multi-Task Learning Cameron R. Wolfe Keld T. Lundgaard VLM 45 2 0 27 Jul 2021
Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation A. Bhunia Aneeshan Sain Pinaki Nath Chowdhury Yi-Zhe Song 27 28 0 26 Jul 2021
Disentangling Transfer and Interference in Multi-Domain Learning Yipeng Zhang Tyler L. Hayes Christopher Kanan 48 3 0 02 Jul 2021
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy Anuja Vats Marius Pedersen A. Mohammed Ø. Hovde 16 7 0 30 Jun 2021