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MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning

MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning

19 January 2020
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
ArXivPDFHTML

Papers citing "MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning"

42 / 42 papers shown
Title
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Bruno Ribeiro
Chaim Baskin
Moshe Eliasof
43
0
0
09 Feb 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
Hanwen Zhong
Jiaxin Chen
Yutong Zhang
Di Huang
Yunhong Wang
MoE
42
0
0
12 Jan 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Yuxiang Lu
Shengcao Cao
Yu-xiong Wang
49
1
0
18 Oct 2024
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
Selina Khan
Nanne van Noord
46
4
0
16 Oct 2024
SGW-based Multi-Task Learning in Vision Tasks
SGW-based Multi-Task Learning in Vision Tasks
Ruiyuan Zhang
Yuyao Chen
Yuchi Huo
Jiaxiang Liu
Dianbing Xi
Jie Liu
Chao Wu
28
0
0
03 Oct 2024
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
Geri Skenderi
Luigi Capogrosso
Andrea Toaiari
Matteo Denitto
Franco Fummi
Simone Melzi
Marco Cristani
OOD
28
0
0
13 Oct 2023
Spatial-information Guided Adaptive Context-aware Network for Efficient
  RGB-D Semantic Segmentation
Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation
Yang Zhang
Chenyun Xiong
Junjie Liu
Xuhui Ye
Guodong Sun
21
14
0
11 Aug 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with
  Memorial Mixture-of-Experts
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
Hanrong Ye
Dan Xu
MoE
39
26
0
28 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene
  Understanding
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding
Hanrong Ye
Dan Xu
ViT
27
10
0
08 Jun 2023
Performance-aware Approximation of Global Channel Pruning for Multitask
  CNNs
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Hancheng Ye
Bo-Wen Zhang
Tao Chen
Jiayuan Fan
Bin Wang
29
18
0
21 Mar 2023
ViM: Vision Middleware for Unified Downstream Transferring
ViM: Vision Middleware for Unified Downstream Transferring
Yutong Feng
Biao Gong
Jianwen Jiang
Yiliang Lv
Yujun Shen
Deli Zhao
Jingren Zhou
32
1
0
13 Mar 2023
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio
  for Multi-Task Learning
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
Caoyun Fan
Wenqing Chen
Jidong Tian
Yitian Li
Hao He
Yaohui Jin
14
2
0
18 Feb 2023
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part
  Segmentation
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation
Xiangtai Li
Shilin Xu
Yibo Yang
Haobo Yuan
Guangliang Cheng
Yu Tong
Zhouchen Lin
Ming-Hsuan Yang
Dacheng Tao
ViT
37
21
0
03 Jan 2023
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers
  using Synthetic Scene Data
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data
Roei Herzig
Ofir Abramovich
Elad Ben-Avraham
Assaf Arbelle
Leonid Karlinsky
Ariel Shamir
Trevor Darrell
Amir Globerson
36
16
0
08 Dec 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
N. Durasov
Nik Dorndorf
Pascal Fua
VLM
21
5
0
21 Nov 2022
M$^3$ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task
  Learning with Model-Accelerator Co-design
M3^33ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
Hanxue Liang
Zhiwen Fan
Rishov Sarkar
Ziyu Jiang
Tianlong Chen
Kai Zou
Yu Cheng
Cong Hao
Zhangyang Wang
MoE
31
81
0
26 Oct 2022
U-HRNet: Delving into Improving Semantic Representation of High
  Resolution Network for Dense Prediction
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction
Jian Wang
Xiang Long
Guowei Chen
Zewu Wu
Zeyu Chen
Errui Ding
SSeg
20
11
0
13 Oct 2022
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision
  Tasks
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
Yen-Cheng Liu
Chih-Yao Ma
Junjiao Tian
Zijian He
Z. Kira
123
47
0
07 Oct 2022
Curbing Task Interference using Representation Similarity-Guided
  Multi-Task Feature Sharing
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing
Naresh Gurulingan
Elahe Arani
Bahram Zonooz
22
1
0
19 Aug 2022
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
Markus Schön
M. Buchholz
Klaus C. J. Dietmayer
3DPC
3DGS
33
41
0
27 Jun 2022
Cross-task Attention Mechanism for Dense Multi-task Learning
Cross-task Attention Mechanism for Dense Multi-task Learning
Ivan Lopes
Tuan-Hung Vu
Raoul de Charette
14
26
0
17 Jun 2022
Discovering Object Masks with Transformers for Unsupervised Semantic
  Segmentation
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke
Simon Vandenhende
Luc Van Gool
36
55
0
13 Jun 2022
Multi-Task Learning with Multi-Query Transformer for Dense Prediction
Multi-Task Learning with Multi-Query Transformer for Dense Prediction
Yangyang Xu
Xiangtai Li
Haobo Yuan
Yibo Yang
Lefei Zhang
ViT
23
45
0
28 May 2022
Medusa: Universal Feature Learning via Attentional Multitasking
Medusa: Universal Feature Learning via Attentional Multitasking
Jaime Spencer
Richard Bowden
Simon Hadfield
CLL
26
1
0
12 Apr 2022
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation
Xu Tian
Jin Liu
Hulin Kuang
Yu Sheng
Jianxin Wang
The Alzheimer’s Disease Neuroimaging Initiative
11
5
0
02 Apr 2022
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene
  Understanding
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding
Hanrong Ye
Dan Xu
ViT
21
84
0
15 Mar 2022
Depth-Independent Depth Completion via Least Square Estimation
Depth-Independent Depth Completion via Least Square Estimation
Xianze Fang
Yunkai Wang
Zexi Chen
Yue Wang
R. Xiong
MDE
3DV
16
0
0
07 Mar 2022
On Steering Multi-Annotations per Sample for Multi-Task Learning
On Steering Multi-Annotations per Sample for Multi-Task Learning
Yuan Li
Yiwen Guo
Qizhang Li
Hongzhi Zhang
W. Zuo
17
0
0
06 Mar 2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
26
75
0
07 Feb 2022
PaRT: Parallel Learning Towards Robust and Transparent AI
PaRT: Parallel Learning Towards Robust and Transparent AI
Mahsa Paknezhad
Hamsawardhini Rengarajan
Chenghao Yuan
Sujanya Suresh
Manas Gupta
Savitha Ramasamy
Hwee Kuan Lee
OOD
38
1
0
24 Jan 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
42
39
0
29 Nov 2021
Cross-Task Consistency Learning Framework for Multi-Task Learning
Cross-Task Consistency Learning Framework for Multi-Task Learning
Akihiro Nakano
Shi Chen
K. Demachi
CVBM
14
3
0
28 Nov 2021
Dual Transfer Learning for Event-based End-task Prediction via Pluggable
  Event to Image Translation
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
Lin Wang
Yujeong Chae
Kuk-Jin Yoon
24
32
0
04 Sep 2021
Fine-grained Semantics-aware Representation Enhancement for
  Self-supervised Monocular Depth Estimation
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation
Hyun-Joo Jung
Eunhyeok Park
S. Yoo
MDE
30
108
0
19 Aug 2021
Geometry Uncertainty Projection Network for Monocular 3D Object
  Detection
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Yan Lu
Xinzhu Ma
Lei Yang
Tianzhu Zhang
Yating Liu
Qi Chu
Junjie Yan
Wanli Ouyang
MDE
22
211
0
29 Jul 2021
Learning to Relate Depth and Semantics for Unsupervised Domain
  Adaptation
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
Suman Saha
Anton Obukhov
D. Paudel
Menelaos Kanakis
Yuhua Chen
Stamatios Georgoulis
Luc Van Gool
OOD
31
55
0
17 May 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth
  Estimation
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
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Taylor Mordan
Matthieu Cord
P. Pérez
Alexandre Alahi
24
22
0
04 Dec 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
30
608
0
10 Sep 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning
  without Task Interference
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
22
72
0
24 Jul 2020
Maximum Roaming Multi-Task Learning
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
28
31
0
17 Jun 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
M. Proesmans
Dengxin Dai
Luc Van Gool
CVBM
24
72
0
28 Apr 2020
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