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UMono: Physical Model Informed Hybrid CNN-Transformer Framework for
  Underwater Monocular Depth Estimation

UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation

25 July 2024
Jian Wang
Jing Wang
Shenghui Rong
Bo He
ArXivPDFHTML

Papers citing "UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation"

5 / 5 papers shown
Title
Learning from the Giants: A Practical Approach to Underwater Depth and
  Surface Normals Estimation
Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation
Alzayat Saleh
Melanie Olsen
Bouchra Senadji
M. R. Azghadi
31
0
0
02 Oct 2024
Self-Supervised Monocular Depth Underwater
Self-Supervised Monocular Depth Underwater
Shlomi Amitai
Itzik Klein
T. Treibitz
MDE
34
8
0
06 Oct 2022
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
283
3,623
0
24 Feb 2021
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
197
1,708
0
06 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
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