ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.07741
  4. Cited By
Back to the Color: Learning Depth to Specific Color Transformation for
  Unsupervised Depth Estimation

Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation

11 June 2024
Yufan Zhu
Chongzhi Ran
Mingtao Feng
Fangfang Wu
Le Dong
Weisheng Dong
Antonio M. López
G. Shi
    MDE
ArXivPDFHTML

Papers citing "Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation"

25 / 25 papers shown
Title
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
J. L. Gómez
Manuel Silva
Antonio Seoane
Agnes Borrás
Mario Noriega
Germán Ros
Jose A. Iglesias-Guitian
Antonio M. López
3DPC
204
13
0
19 Dec 2023
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
50
57
0
25 Jul 2022
Visual Attention Network
Visual Attention Network
Meng-Hao Guo
Chengrou Lu
Zheng-Ning Liu
Ming-Ming Cheng
Shiyong Hu
ViT
VLM
58
663
0
20 Feb 2022
Transformers in Self-Supervised Monocular Depth Estimation with Unknown
  Camera Intrinsics
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics
Arnav Varma
Hemang Chawla
Bahram Zonooz
Elahe Arani
ViT
MDE
46
49
0
07 Feb 2022
MPViT: Multi-Path Vision Transformer for Dense Prediction
MPViT: Multi-Path Vision Transformer for Dense Prediction
Youngwan Lee
Jonghee Kim
Jeffrey Willette
Sung Ju Hwang
ViT
80
250
0
21 Dec 2021
Robust Depth Completion with Uncertainty-Driven Loss Functions
Robust Depth Completion with Uncertainty-Driven Loss Functions
Yufan Zhu
W. Dong
Leida Li
Jinjian Wu
Xin Li
Guangming Shi
UQCV
47
43
0
15 Dec 2021
Rethinking Dilated Convolution for Real-time Semantic Segmentation
Rethinking Dilated Convolution for Real-time Semantic Segmentation
Roland Gao
SSeg
61
41
0
18 Nov 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
441
21,392
0
25 Mar 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
130
1,732
0
24 Mar 2021
Monocular Depth Estimation through Virtual-world Supervision and
  Real-world SfM Self-Supervision
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
A. Gurram
Ahmet Faruk Tuna
Fengyi Shen
O. Urfalioglu
Antonio M. López
MDE
74
42
0
22 Mar 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
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object
  Problem by Semantic Guidance
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Marvin Klingner
Jan-Aike Termöhlen
Jonas Mikolajczyk
Tim Fingscheidt
MDE
108
321
0
14 Jul 2020
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real
  Domain Shift and Improve Depth Estimation
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
Yunhan Zhao
Shu Kong
Daeyun Shin
Charless C. Fowlkes
MDE
43
44
0
27 Feb 2020
Virtual KITTI 2
Virtual KITTI 2
Yohann Cabon
Naila Murray
Martin Humenberger
3DPC
63
286
0
29 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
493
42,407
0
03 Dec 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
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
199
1,789
0
02 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
609
4,778
0
13 May 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
647
0
06 May 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
126
4,054
0
25 Feb 2019
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth
  Estimation Tasks
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
Chuanxia Zheng
Tat-Jen Cham
Jianfei Cai
MDE
GAN
63
194
0
04 Aug 2018
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Yuanzhouhan Cao
Tianqi Zhao
Ke Xian
Chunhua Shen
Zhiguo Cao
Shugong Xu
MDE
104
51
0
02 Jun 2018
CARLA: An Open Urban Driving Simulator
CARLA: An Open Urban Driving Simulator
Alexey Dosovitskiy
G. Ros
Felipe Codevilla
Antonio M. López
V. Koltun
VLM
133
5,166
0
10 Nov 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
11,609
0
06 Apr 2016
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
217
4,054
0
09 Jun 2014
1