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Lite-Mono: A Lightweight CNN and Transformer Architecture for
  Self-Supervised Monocular Depth Estimation

Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation

23 November 2022
Ning Zhang
F. Nex
G. Vosselman
N. Kerle
    MDE
ArXivPDFHTML

Papers citing "Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation"

11 / 61 papers shown
Title
AltNeRF: Learning Robust Neural Radiance Field via Alternating
  Depth-Pose Optimization
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
Kun Wang
Zhiqiang Yan
Huang Tian
Zhenyu Zhang
Xiang Li
Jun Yu Li
Jian Yang
25
3
0
19 Aug 2023
Improving Depth Gradient Continuity in Transformers: A Comparative Study
  on Monocular Depth Estimation with CNN
Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN
Jiawei Yao
Tong Wu
Xiaofeng Zhang
ViT
MDE
35
74
0
16 Aug 2023
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative
  Convolution Network
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network
Wencheng Han
Junbo Yin
Jianbing Shen
MDE
14
15
0
10 Aug 2023
EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with
  CNN-Transformer
EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer
Yangke Li
MedIm
21
1
0
04 Aug 2023
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong
Yaru Niu
Shaoyuan Xie
Hanjiang Hu
Lai Xing Ng
...
Zhenyu Li
Runze Chen
Haiyong Luo
Fang Zhao
Jing Yu
26
13
0
27 Jul 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
35
32
0
17 Jul 2023
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging
  Bird's-Eye-View in Dynamic Scenarios
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic Scenarios
Yucheng Mao
Ruowen Zhao
Tianbao Zhang
Hang Zhao
20
3
0
20 Jun 2023
Channel-Aware Distillation Transformer for Depth Estimation on Nano
  Drones
Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones
Ning Zhang
F. Nex
G. Vosselman
N. Kerle
13
1
0
18 Mar 2023
Pruning Self-attentions into Convolutional Layers in Single Path
Pruning Self-attentions into Convolutional Layers in Single Path
Haoyu He
Jianfei Cai
Jing Liu
Zizheng Pan
Jing Zhang
Dacheng Tao
Bohan Zhuang
ViT
29
40
0
23 Nov 2021
CMT: Convolutional Neural Networks Meet Vision Transformers
CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo
Kai Han
Han Wu
Yehui Tang
Chunjing Xu
Yunhe Wang
Chang Xu
ViT
337
500
0
13 Jul 2021
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,705
0
06 Jun 2018
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