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Towards real-time unsupervised monocular depth estimation on CPU

Towards real-time unsupervised monocular depth estimation on CPU

29 June 2018
Matteo Poggi
Filippo Aleotti
Fabio Tosi
S. Mattoccia
    MDE
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Papers citing "Towards real-time unsupervised monocular depth estimation on CPU"

21 / 21 papers shown
Title
CCDepth: A Lightweight Self-supervised Depth Estimation Network with
  Enhanced Interpretability
CCDepth: A Lightweight Self-supervised Depth Estimation Network with Enhanced Interpretability
Xi Zhang
Yaru Xue
Shaocheng Jia
Xin Pei
33
0
0
30 Sep 2024
Promoting CNNs with Cross-Architecture Knowledge Distillation for
  Efficient Monocular Depth Estimation
Promoting CNNs with Cross-Architecture Knowledge Distillation for Efficient Monocular Depth Estimation
Zhimeng Zheng
Tao Huang
Gongsheng Li
Zuyi Wang
48
2
0
25 Apr 2024
A Study on Centralised and Decentralised Swarm Robotics Architecture for
  Part Delivery System
A Study on Centralised and Decentralised Swarm Robotics Architecture for Part Delivery System
Angelos Dimakos
Daniel Woodhall
Seemal Asif
31
4
0
12 Mar 2024
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth
  Estimation
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
Youhong Wang
Yunji Liang
Hao Xu
Shaohui Jiao
Hongkai Yu
MDE
25
33
0
01 Sep 2023
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision
  Transformer
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Chaoqiang Zhao
Youming Zhang
Matteo Poggi
Fabio Tosi
Xianda Guo
Zheng Zhu
Guan Huang
Yang Tang
S. Mattoccia
ViT
MDE
42
175
0
06 Aug 2022
Monitoring social distancing with single image depth estimation
Monitoring social distancing with single image depth estimation
Alessio Mingozzi
Andrea Conti
Filippo Aleotti
Matteo Poggi
S. Mattoccia
36
2
0
04 Apr 2022
Fast Neural Architecture Search for Lightweight Dense Prediction
  Networks
Fast Neural Architecture Search for Lightweight Dense Prediction Networks
Lam Huynh
Esa Rahtu
Juan E. Sala Matas
J. Heikkilä
20
2
0
03 Mar 2022
Lightweight Monocular Depth with a Novel Neural Architecture Search
  Method
Lightweight Monocular Depth with a Novel Neural Architecture Search Method
Lam Huynh
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
29
10
0
25 Aug 2021
Monocular Depth Estimation Primed by Salient Point Detection and
  Normalized Hessian Loss
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss
Lam Huynh
Matteo Pedone
Phong H. Nguyen
Jirí Matas
Esa Rahtu
J. Heikkilä
MDE
3DPC
18
3
0
25 Aug 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
37
264
0
29 Apr 2021
Self-supervised monocular depth estimation from oblique UAV videos
Self-supervised monocular depth estimation from oblique UAV videos
L. Madhuanand
F. Nex
M. Yang
MDE
25
40
0
19 Dec 2020
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
Xiaoyang Lyu
L. Liu
Mengmeng Wang
Xin Kong
Lina Liu
Yong Liu
Xinxin Chen
Yi Yuan
MDE
25
250
0
14 Dec 2020
One Shot 3D Photography
One Shot 3D Photography
Johannes Kopf
Kevin Blackburn-Matzen
Suhib Alsisan
Ocean Quigley
Francis Ge
...
Peizhao Zhang
Zijian He
Peter Vajda
Ayush Saraf
Michael F. Cohen
28
79
0
27 Aug 2020
MiniNet: An extremely lightweight convolutional neural network for
  real-time unsupervised monocular depth estimation
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Jun Liu
Qing Li
Rui Cao
Wenming Tang
Guoping Qiu
MDE
27
35
0
27 Jun 2020
Real-time single image depth perception in the wild with handheld
  devices
Real-time single image depth perception in the wild with handheld devices
Filippo Aleotti
Giulio Zaccaroni
Luca Bartolomei
Matteo Poggi
Fabio Tosi
S. Mattoccia
MDE
32
41
0
10 Jun 2020
Distilled Semantics for Comprehensive Scene Understanding from Videos
Distilled Semantics for Comprehensive Scene Understanding from Videos
Fabio Tosi
Filippo Aleotti
Pierluigi Zama Ramirez
Matteo Poggi
Samuele Salti
Luigi Di Stefano
S. Mattoccia
MDE
19
76
0
31 Mar 2020
Real-Time Semantic Stereo Matching
Real-Time Semantic Stereo Matching
Pier Luigi Dovesi
Matteo Poggi
Lorenzo Andraghetti
Miquel Martí
Hedvig Kjellström
Alessandro Pieropan
S. Mattoccia
3DV
21
71
0
01 Oct 2019
Enhancing self-supervised monocular depth estimation with traditional
  visual odometry
Enhancing self-supervised monocular depth estimation with traditional visual odometry
Lorenzo Andraghetti
Panteleimon Myriokefalitakis
Pier Luigi Dovesi
Belén Luque
Matteo Poggi
Alessandro Pieropan
S. Mattoccia
MDE
36
41
0
08 Aug 2019
Unsupervised Learning of Monocular Depth Estimation with Bundle
  Adjustment, Super-Resolution and Clip Loss
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
Lipu Zhou
Jiamin Ye
Montiel Abello
Shengze Wang
Michael Kaess
MDE
29
27
0
08 Dec 2018
Real-time self-adaptive deep stereo
Real-time self-adaptive deep stereo
A. Tonioni
Fabio Tosi
Matteo Poggi
S. Mattoccia
Luigi Di Stefano
19
265
0
12 Oct 2018
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
167
353
0
18 Nov 2014
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