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Hybridnet for depth estimation and semantic segmentation

Hybridnet for depth estimation and semantic segmentation

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
9 February 2024
Dalila Sánchez-Escobedo
Xiao Lin
J. Casas
M. Pardàs
    SSegMDE
ArXiv (abs)PDFHTMLGithub

Papers citing "Hybridnet for depth estimation and semantic segmentation"

6 / 6 papers shown
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way
Rajarshi Roy
Devleena Das
A. Banerjee
Arjya Bhattacharjee
Kousik Dasgupta
Subarna Tripathi
VLM
289
1
0
11 Jul 2025
Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation
Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation
Sanggyun Ma
Wonjoon Choi
Jihun Park
Jaeyeul Kim
Seunghun Lee
Jiwan Seo
S. Im
346
1
0
29 May 2025
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and
  Semantic Segmentation from Monocular Camera Images
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images
Pardis Taghavi
Reza Langari
Gaurav Pandey
MDEViT
400
23
0
15 Mar 2024
SemSegDepth: A Combined Model for Semantic Segmentation and Depth
  Completion
SemSegDepth: A Combined Model for Semantic Segmentation and Depth CompletionVISIGRAPP (VISIGRAPP), 2022
J. Lagos
Esa Rahtu
VLM3DV
324
10
0
01 Sep 2022
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Xingshuai Dong
Matthew A. Garratt
S. Anavatti
H. Abbass
353
163
0
16 Nov 2021
Deep Learning based Monocular Depth Prediction: Datasets, Methods and
  Applications
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Qing Li
Jiasong Zhu
Jun Liu
Rui Cao
Qingquan Li
Sen Jia
Guoping Qiu
3DHMDE
230
13
0
09 Nov 2020
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