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Less is More: Consistent Video Depth Estimation with Masked Frames
  Modeling

Less is More: Consistent Video Depth Estimation with Masked Frames Modeling

31 July 2022
Yiran Wang
Zhiyu Pan
Xingyi Li
Zhiguo Cao
Ke Xian
Jianming Zhang
ArXivPDFHTML

Papers citing "Less is More: Consistent Video Depth Estimation with Masked Frames Modeling"

7 / 7 papers shown
Title
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
R. Yasarla
H. Cai
Jisoo Jeong
Y. Shi
Risheek Garrepalli
Fatih Porikli
MDE
71
16
0
17 Jan 2025
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
R. Yasarla
Manish Kumar Singh
Hong Cai
Yunxiao Shi
Jisoo Jeong
Yinhao Zhu
Shizhong Han
Risheek Garrepalli
Fatih Porikli
MDE
90
6
0
17 Jan 2025
Diffusion-Augmented Depth Prediction with Sparse Annotations
Diffusion-Augmented Depth Prediction with Sparse Annotations
Jiaqi Li
Yiran Wang
Zihao Huang
Jinghong Zheng
Ke Xian
Zhiguo Cao
Jianming Zhang
DiffM
10
10
0
04 Aug 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Liya Wang
A. Tien
44
7
0
28 Jan 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 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
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
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