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Global-Local Path Networks for Monocular Depth Estimation with Vertical
  CutDepth

Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth

19 January 2022
Doyeon Kim
Woonghyun Ka
Pyunghwan Ahn
Donggyu Joo
S. Chun
Junmo Kim
    MDE
ArXivPDFHTML

Papers citing "Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth"

20 / 20 papers shown
Title
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
Rohit Menon
Nils Dengler
Sicong Pan
Gokul Krishna Chenchani
Maren Bennewitz
EDL
91
0
0
06 Mar 2025
CAMOT: Camera Angle-aware Multi-Object Tracking
CAMOT: Camera Angle-aware Multi-Object Tracking
Felix Limanta
Kuniaki Uto
Koichi Shinoda
VOT
55
5
0
26 Sep 2024
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image
  Indoor Depth by Meta-Initialization
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization
Cho-Ying Wu
Yiqi Zhong
Junying Wang
Ulrich Neumann
MDE
64
0
0
04 Sep 2024
3D Hand Mesh Recovery from Monocular RGB in Camera Space
3D Hand Mesh Recovery from Monocular RGB in Camera Space
Haonan Li
Patrick P. K. Chen
Yitong Zhou
3DH
51
2
0
12 May 2024
METER: a mobile vision transformer architecture for monocular depth
  estimation
METER: a mobile vision transformer architecture for monocular depth estimation
Lorenzo Papa
Paolo Russo
Irene Amerini
MDE
27
18
0
13 Mar 2024
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
Yuting Yang
Andrea Merlina
Weijia Song
Tiancheng Yuan
Ken Birman
Roman Vitenberg
49
0
0
27 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
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM
Weijian Xie
Guanyi Chu
Quanhao Qian
Yihao Yu
Hai Li
Danpeng Chen
Shangjin Zhai
Nan Wang
Hujun Bao
Guofeng Zhang
MDE
49
2
0
08 Sep 2023
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation
Amira Guesmi
Muhammad Abdullah Hanif
B. Ouni
Muhammad Shafique
MDE
40
12
0
06 Aug 2023
Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
Self-supervised Monocular Depth Estimation: Let's Talk About The Weather
Kieran Saunders
George Vogiatzis
Luis J. Manso
MDE
46
33
0
17 Jul 2023
AI-Based Framework for Understanding Car Following Behaviors of Drivers
  in A Naturalistic Driving Environment
AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment
Armstrong Aboah
Abdul Rashid Mussah
Y. Adu-Gyamfi
30
4
0
23 Jan 2023
A Study on the Generality of Neural Network Structures for Monocular
  Depth Estimation
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation
Ji-Hoon Bae
K. Hwang
Sunghoon Im
MDE
32
7
0
09 Jan 2023
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
Jia Ning
Chen Li
Zheng-Wei Zhang
Zigang Geng
Qi Dai
Kun He
Han Hu
56
44
0
05 Jan 2023
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing
  with Ground Truth Sparsity via Curriculum Learning
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning
Fatemeh Karimi
Amir Mehrpanah
Reza Rawassizadeh
29
1
0
16 Nov 2022
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile
  Devices
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices
Zhenyu Li
Zehui Chen
Jialei Xu
Xianming Liu
Junjun Jiang
VLM
MDE
34
1
0
02 Sep 2022
LocalBins: Improving Depth Estimation by Learning Local Distributions
LocalBins: Improving Depth Estimation by Learning Local Distributions
S. Bhat
Ibraheem Alhashim
Peter Wonka
MDE
33
100
0
28 Mar 2022
Scale-aware direct monocular odometry
Scale-aware direct monocular odometry
C. Campos
Juan D. Tardós
MDE
26
4
0
21 Sep 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
969
0
13 Dec 2020
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and
  Benchmark under Multiple Environments
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Hanjiang Hu
B. Yang
Zhijian Qiao
Shiqi Liu
Weiang Shi
Zuxin Liu
Wenhao Ding
Ding Zhao
Hesheng Wang
VLM
MDE
35
14
0
09 Nov 2020
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
200
1,711
0
06 Jun 2018
1