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Rethinking Skip Connections in Encoder-decoder Networks for Monocular
  Depth Estimation

Rethinking Skip Connections in Encoder-decoder Networks for Monocular Depth Estimation

29 August 2022
Zhitong Lai
Haichao Sun
Rui Tian
Nannan Ding
Zhiguo Wu
Yanjie Wang
    MDE
ArXivPDFHTML

Papers citing "Rethinking Skip Connections in Encoder-decoder Networks for Monocular Depth Estimation"

5 / 5 papers shown
Title
Decoupled DETR For Few-shot Object Detection
Decoupled DETR For Few-shot Object Detection
Zeyu Shangguan
Lian Huai
Tong Liu
Xingqun Jiang
26
1
0
20 Nov 2023
On Deep Learning Techniques to Boost Monocular Depth Estimation for
  Autonomous Navigation
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation
R. Q. Mendes
E. G. Ribeiro
N. D. S. Rosa
V. Grassi
MDE
35
42
0
13 Oct 2020
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
1,707
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
288
10,214
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,356
0
25 Aug 2016
1