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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"

6 / 6 papers shown
Title
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
88
6
0
17 Jan 2025
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
63
16
0
17 Jan 2025
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Liya Wang
A. Tien
35
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
258
7,412
0
11 Nov 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
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
265
10,196
0
16 Nov 2016
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