Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2407.17838
Cited By
UMono: Physical Model Informed Hybrid CNN-Transformer Framework for Underwater Monocular Depth Estimation
25 July 2024
Jian Wang
Jing Wang
Shenghui Rong
Bo He
Re-assign community
ArXiv
PDF
HTML
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
Alzayat Saleh
Melanie Olsen
Bouchra Senadji
M. R. Azghadi
31
0
0
02 Oct 2024
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
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
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
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
1