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LightDepth: A Resource Efficient Depth Estimation Approach for Dealing
  with Ground Truth Sparsity via Curriculum Learning

LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning

16 November 2022
Fatemeh Karimi
Amir Mehrpanah
Reza Rawassizadeh
ArXivPDFHTML

Papers citing "LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning"

3 / 3 papers shown
Title
Promoting CNNs with Cross-Architecture Knowledge Distillation for
  Efficient Monocular Depth Estimation
Promoting CNNs with Cross-Architecture Knowledge Distillation for Efficient Monocular Depth Estimation
Zhimeng Zheng
Tao Huang
Gongsheng Li
Zuyi Wang
35
2
0
25 Apr 2024
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
182
1,707
0
06 Jun 2018
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
252
36,362
0
25 Aug 2016
1