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Integrated perception with recurrent multi-task neural networks

Integrated perception with recurrent multi-task neural networks

6 June 2016
Hakan Bilen
Andrea Vedaldi
    ObjD
ArXivPDFHTML

Papers citing "Integrated perception with recurrent multi-task neural networks"

13 / 13 papers shown
Title
Multi-task Learning for Real-time Autonomous Driving Leveraging
  Task-adaptive Attention Generator
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
Wonhyeok Choi
Mingyu Shin
Hyukzae Lee
Jaehoon Cho
Jaehyeon Park
Sunghoon Im
37
1
0
06 Mar 2024
Adaptive multi-gradient methods for quasiconvex vector optimization and
  applications to multi-task learning
Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning
Nguyen Anh Minh
L. Muu
Tran Ngoc Thang
11
0
0
09 Feb 2024
Generalist: Decoupling Natural and Robust Generalization
Generalist: Decoupling Natural and Robust Generalization
Hongjun Wang
Yisen Wang
OOD
AAML
31
14
0
24 Mar 2023
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
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
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Weihong Li
Xialei Liu
Hakan Bilen
31
39
0
29 Nov 2021
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
19
102
0
12 Jun 2020
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
19
86
0
26 Aug 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
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask
  Sharing---and Back
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back
Elliot Meyerson
Risto Miikkulainen
9
45
0
11 Mar 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to
  Mask Weights
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Arun Mallya
Dillon Davis
Svetlana Lazebnik
CLL
10
35
0
19 Jan 2018
Universal representations:The missing link between faces, text,
  planktons, and cat breeds
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen
Andrea Vedaldi
21
147
0
25 Jan 2017
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications
  in Person Attribute Classification
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
21
384
0
16 Nov 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
1