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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

11 May 2018
Dan Xu
Wanli Ouyang
Xiaogang Wang
N. Sebe
    MoE
ArXivPDFHTML

Papers citing "PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing"

50 / 77 papers shown
Title
BackSlash: Rate Constrained Optimized Training of Large Language Models
BackSlash: Rate Constrained Optimized Training of Large Language Models
Jun Wu
Jiangtao Wen
Yuxing Han
36
0
0
23 Apr 2025
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
MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning
MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning
Chunpu Liu
Guanglei Yang
Wangmeng Zuo
Tianyi Zan
MDE
51
0
0
31 Dec 2024
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
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
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on
  Light-Weighed Backbones and Effective Measurement of Multi-Task Learning
  Challenges by Feature Disentanglement
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao
Yuhao Chen
Yifan Wu
Maximilian Gilles
Alexander Wong
AAML
38
0
0
05 Feb 2024
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
23
1
0
26 Sep 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
Towards Deeply Unified Depth-aware Panoptic Segmentation with
  Bi-directional Guidance Learning
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
Ju He
Yifan Wang
Lijun Wang
Huchuan Lu
Jun-Yan He
Jinpeng Lan
Bin Luo
Yifeng Geng
Xuansong Xie
MDE
23
8
0
27 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
29
10
0
08 Jun 2023
OVeNet: Offset Vector Network for Semantic Segmentation
OVeNet: Offset Vector Network for Semantic Segmentation
Stamatis Alexandropoulos
Christos Sakaridis
Petros Maragos
SSeg
26
1
0
25 Mar 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
32
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
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
32
50
0
13 Feb 2023
SynMotor: A Benchmark Suite for Object Attribute Regression and
  Multi-task Learning
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning
Chengzhi Wu
Linxi Qiu
Kanran Zhou
Julius Pfrommer
Jürgen Beyerer
29
1
0
11 Jan 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
42
21
0
03 Jan 2023
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
22
11
0
13 Oct 2022
Stimulative Training of Residual Networks: A Social Psychology
  Perspective of Loafing
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
Peng Ye
Shengji Tang
Baopu Li
Tao Chen
Wanli Ouyang
29
13
0
09 Oct 2022
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight
  Semantic Segmentation
NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation
Yi-Chun Wang
J. Hsieh
Ming-Ching Chang
21
1
0
03 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
Joint Prediction of Monocular Depth and Structure using Planar and
  Parallax Geometry
Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry
Hao Xing
Yifan Cao
Maximilian Biber
Mingchuan Zhou
Darius Burschka
3DPC
3DV
MDE
31
10
0
13 Jul 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
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
28
45
0
28 May 2022
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation
  in Nighttime Semantic Segmentation
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation
Huan-ang Gao
Jichang Guo
Guoli Wang
Qian Zhang
27
63
0
02 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
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
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
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with
  Transformers
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Jiaming Zhang
Huayao Liu
Kailun Yang
Xinxin Hu
Ruiping Liu
Rainer Stiefelhagen
ViT
28
299
0
09 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
Safe Distillation Box
Safe Distillation Box
Jingwen Ye
Yining Mao
Jie Song
Xinchao Wang
Cheng Jin
Mingli Song
AAML
21
13
0
05 Dec 2021
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
16
3
0
28 Nov 2021
EvDistill: Asynchronous Events to End-task Learning via Bidirectional
  Reconstruction-guided Cross-modal Knowledge Distillation
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
Lin Wang
Yujeong Chae
Sung-Hoon Yoon
Tae-Kyun Kim
Kuk-Jin Yoon
28
64
0
24 Nov 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision
  Datasets from 3D Scans
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
Ainaz Eftekhar
Alexander Sax
Roman Bachmann
Jitendra Malik
Amir Zamir
MedIm
33
288
0
11 Oct 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
27
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
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry
  Perception with Adaptive Cross Weighted Loss from Monocular Videos
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
Jiaojiao Fang
Guizhong Liu
3DPC
SSL
24
0
0
09 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
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
Huajun Liu
Fuqiang Liu
Xinyi Fan
Dong Huang
77
211
0
02 Jul 2021
EdgeConv with Attention Module for Monocular Depth Estimation
EdgeConv with Attention Module for Monocular Depth Estimation
Minhyeok Lee
Sangwon Hwang
Chaewon Park
Sangyoun Lee
MDE
3DPC
13
17
0
16 Jun 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
33
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
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition
Wenliang Dai
Samuel Cahyawijaya
Yejin Bang
Pascale Fung
CVBM
28
11
0
23 Apr 2021
Adaptive Surface Normal Constraint for Depth Estimation
Adaptive Surface Normal Constraint for Depth Estimation
Xiaoxiao Long
Cheng Lin
Lingjie Liu
Wei Li
Christian Theobalt
Ruigang Yang
Wenping Wang
3DV
29
5
0
29 Mar 2021
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