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1609.02132
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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
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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
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Pixel Difference Networks for Efficient Edge Detection
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Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
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Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
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Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
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Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
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Towards General Purpose Vision Systems
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Semantics for Robotic Mapping, Perception and Interaction: A Survey
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02 Jan 2021
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
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Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
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14 Oct 2020
What Should Not Be Contrastive in Contrastive Learning
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Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
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Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
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Improving Semantic Segmentation via Decoupled Body and Edge Supervision
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Maximum Roaming Multi-Task Learning
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Learning to Branch for Multi-Task Learning
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02 Jun 2020
Understanding and Improving Information Transfer in Multi-Task Learning
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TTNet: Real-time temporal and spatial video analysis of table tennis
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Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation
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Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation
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Multi-Task Reinforcement Learning with Soft Modularization
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Cross-modal Deep Face Normals with Deactivable Skip Connections
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Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network
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Attentive Single-Tasking of Multiple Tasks
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Learning Across Tasks and Domains
Pierluigi Zama Ramirez
A. Tonioni
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Towards Universal Object Detection by Domain Attention
Xudong Wang
Zhaowei Cai
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Many Task Learning with Task Routing
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An End-to-End Network for Panoptic Segmentation
Huanyu Liu
Chao Peng
Changqian Yu
Jingbo Wang
Xuantong Liu
Gang Yu
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ISeg
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12 Mar 2019
MultiGrain: a unified image embedding for classes and instances
Maxim Berman
Hervé Jégou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
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Learning to Fuse Things and Stuff
Jie Li
Allan Raventos
Arjun Bhargava
Takaaki Tagawa
Adrien Gaidon
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Fast Context Adaptation via Meta-Learning
L. Zintgraf
K. Shiarlis
Vitaly Kurin
Katja Hofmann
Shimon Whiteson
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Learning Finer-class Networks for Universal Representations
Julien Girard-Satabin
Y. Tamaazousti
Hervé Le Borgne
C´eline Hudelot
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4
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04 Oct 2018
Triply Supervised Decoder Networks for Joint Detection and Segmentation
Jiale Cao
Yanwei Pang
Xuelong Li
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25 Sep 2018
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
Vladimir Nekrasov
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
Chunhua Shen
Ian Reid
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13 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
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A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Xiangyu Zhao
Haoxiang Li
Xiaohui Shen
Xiaodan Liang
Ying Nian Wu
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137
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17 Jul 2018
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