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Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature
  Fusion in Dynamic Scenes

Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes

26 March 2023
Jiquan Zhong
Xiaolin Huang
Xiao-Wei Yu
    MDE
ArXivPDFHTML

Papers citing "Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes"

23 / 23 papers shown
Title
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Huy-Dung Nguyen
Anass Bairouk
Mirjana Maras
Wei Xiao
Tsun-Hsuan Wang
Patrick Chareyre
Ramin Hasani
Marc Blanchon
Daniela Rus
93
1
0
16 Sep 2024
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
Mu He
Le Hui
Yikai Bian
J. Ren
Jin Xie
Jian Yang
MDE
48
57
0
25 Jul 2022
Multi-Frame Self-Supervised Depth with Transformers
Multi-Frame Self-Supervised Depth with Transformers
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Di Chen
Sergey Zakharov
Adrien Gaidon
ViT
MDE
41
85
0
15 Apr 2022
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of
  Depth and Pose from Monocular Video
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
Guangming Wang
Jiquan Zhong
Shijie Zhao
Wenhua Wu
Zhe Liu
Hesheng Wang
MDE
52
23
0
06 Dec 2021
Attentive and Contrastive Learning for Joint Depth and Motion Field
  Estimation
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation
Seokju Lee
François Rameau
Fei Pan
In So Kweon
95
33
0
13 Oct 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
Jamie Watson
Oisin Mac Aodha
V. Prisacariu
Gabriel J. Brostow
Michael Firman
MDE
63
270
0
29 Apr 2021
Unsupervised Monocular Depth Learning in Dynamic Scenes
Unsupervised Monocular Depth Learning in Dynamic Scenes
Hanhan Li
A. Gordon
Hang Zhao
Vincent Casser
Angelova
MDE
100
136
0
30 Oct 2020
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation
  for Autonomous Driving Applications
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving Applications
Feng Xue
Guirong Zhuo
Ziyuan Huang
Wufei Fu
Zhuoyue Wu
M. Ang
MDE
55
76
0
12 Apr 2020
EfficientPS: Efficient Panoptic Segmentation
EfficientPS: Efficient Panoptic Segmentation
Rohit Mohan
Abhinav Valada
77
235
0
05 Apr 2020
Self-supervised Monocular Trained Depth Estimation using Self-attention
  and Discrete Disparity Volume
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume
A. Johnston
G. Carneiro
MDE
52
234
0
31 Mar 2020
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth
  and Ego-motion from Monocular Videos
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
Hualie Jiang
Laiyan Ding
Zhenglong Sun
Rui Huang
MDE
122
20
0
03 Mar 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual
  Odometry
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
Nan Yang
Lukas von Stumberg
Rui Wang
Daniel Cremers
MDE
73
378
0
02 Mar 2020
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Vaishakh Patil
Wouter Van Gansbeke
Dengxin Dai
Luc Van Gool
MDE
62
129
0
08 Jan 2020
Unsupervised Scale-consistent Depth and Ego-motion Learning from
  Monocular Video
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Jiawang Bian
Zhichao Li
Naiyan Wang
Huangying Zhan
Chunhua Shen
Ming-Ming Cheng
Ian Reid
MDE
75
510
0
28 Aug 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
390
3,611
0
20 Aug 2019
Self-supervised Learning with Geometric Constraints in Monocular Video:
  Connecting Flow, Depth, and Camera
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
Yuhua Chen
Cordelia Schmid
C. Sminchisescu
SSL
MDE
67
246
0
12 Jul 2019
3D Packing for Self-Supervised Monocular Depth Estimation
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Sudeep Pillai
Allan Raventos
Adrien Gaidon
SSL
3DPC
MDE
79
646
0
06 May 2019
Recurrent Neural Network for (Un-)supervised Learning of Monocular
  VideoVisual Odometry and Depth
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
Rui Wang
Stephen M. Pizer
Jan-Michael Frahm
MDE
49
177
0
15 Apr 2019
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera
  Pose
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin
Jianping Shi
MDE
43
1,142
0
06 Mar 2018
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
124
826
0
22 Aug 2017
SfM-Net: Learning of Structure and Motion from Video
SfM-Net: Learning of Structure and Motion from Video
Sudheendra Vijayanarasimhan
Susanna Ricco
Cordelia Schmid
Rahul Sukthankar
Katerina Fragkiadaki
MDE
66
441
0
25 Apr 2017
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
11,606
0
06 Apr 2016
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLM
MDE
205
2,679
0
18 Nov 2014
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