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Deformable Mixer Transformer with Gating for Multi-Task Learning of
  Dense Prediction
v1v2v3v4 (latest)

Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction

10 August 2023
Yangyang Xu
Yibo Yang
Bernard Ghanemm
Lefei Zhang
Du Bo
Dacheng Tao
ArXiv (abs)PDFHTML

Papers citing "Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction"

28 / 28 papers shown
Title
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated
  Convolutions
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
Yongming Rao
Wenliang Zhao
Yansong Tang
Jie Zhou
Ser-Nam Lim
Jiwen Lu
ViT
100
256
0
28 Jul 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
86
49
0
28 May 2022
Vision Transformer Adapter for Dense Predictions
Vision Transformer Adapter for Dense Predictions
Zhe Chen
Yuchen Duan
Wenhai Wang
Junjun He
Tong Lu
Jifeng Dai
Yu Qiao
136
567
0
17 May 2022
MulT: An End-to-End Multitask Learning Transformer
MulT: An End-to-End Multitask Learning Transformer
Deblina Bhattacharjee
Tong Zhang
Sabine Süsstrunk
Mathieu Salzmann
ViT
94
67
0
17 May 2022
Focal Modulation Networks
Focal Modulation Networks
Jianwei Yang
Chunyuan Li
Xiyang Dai
Lu Yuan
Jianfeng Gao
3DPC
86
275
0
22 Mar 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
57
88
0
15 Mar 2022
Vision Transformer with Deformable Attention
Vision Transformer with Deformable Attention
Zhuofan Xia
Xuran Pan
S. Song
Li Erran Li
Gao Huang
ViT
90
482
0
03 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
84
41
0
29 Nov 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Nayeon Lee
SSL
82
101
0
25 Aug 2021
CSWin Transformer: A General Vision Transformer Backbone with
  Cross-Shaped Windows
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Xiaoyi Dong
Jianmin Bao
Dongdong Chen
Weiming Zhang
Nenghai Yu
Lu Yuan
Dong Chen
B. Guo
ViT
152
984
0
01 Jul 2021
Exploring Relational Context for Multi-Task Dense Prediction
Exploring Relational Context for Multi-Task Dense Prediction
David Brüggemann
Menelaos Kanakis
Anton Obukhov
Stamatios Georgoulis
Luc Van Gool
100
77
0
28 Apr 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViTMDE
138
1,746
0
24 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLMViTMDE
204
1,022
0
04 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
533
3,734
0
24 Feb 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
234
5,091
0
08 Oct 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
432
13,094
0
26 May 2020
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
64
224
0
19 Jan 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
178
1,228
0
19 Jan 2020
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
Yibo Yang
Hongyang Li
Xia Li
Qijie Zhao
Jianlong Wu
Zhouchen Lin
ISeg
53
63
0
18 Nov 2019
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
BAM! Born-Again Multi-Task Networks for Natural Language Understanding
Kevin Clark
Minh-Thang Luong
Urvashi Khandelwal
Christopher D. Manning
Quoc V. Le
66
230
0
10 Jul 2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic
  Segmentation
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
Zhenyu Zhang
Zhen Cui
Chunyan Xu
Yan Yan
N. Sebe
Jian Yang
MDE
68
285
0
08 Jun 2019
Deep High-Resolution Representation Learning for Human Pose Estimation
Deep High-Resolution Representation Learning for Human Pose Estimation
Ke Sun
Bin Xiao
Dong Liu
Jingdong Wang
3DV
136
4,059
0
25 Feb 2019
Deformable ConvNets v2: More Deformable, Better Results
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
114
2,018
0
27 Nov 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for
  Simultaneous Depth Estimation and Scene Parsing
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu
Wanli Ouyang
Xiaogang Wang
N. Sebe
MoE
59
479
0
11 May 2018
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
272
3,135
0
19 May 2017
Language Modeling with Gated Convolutional Networks
Language Modeling with Gated Convolutional Networks
Yann N. Dauphin
Angela Fan
Michael Auli
David Grangier
242
2,403
0
23 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,641
0
06 Apr 2016
Detect What You Can: Detecting and Representing Objects using Holistic
  Models and Body Parts
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
Xianjie Chen
Roozbeh Mottaghi
Xiaobai Liu
Sanja Fidler
R. Urtasun
Alan Yuille
98
642
0
08 Jun 2014
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