ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.05642
  4. Cited By
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception

SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception

13 December 2018
Yue Meng
Y. Lu
A. Raj
Samuel Sunarjo
Rui Guo
T. Javidi
G. Bansal
Dinesh Bharadia
    3DV
    MDE
    3DPC
ArXivPDFHTML

Papers citing "SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception"

14 / 14 papers shown
Title
Towards Deeply Unified Depth-aware Panoptic Segmentation with
  Bi-directional Guidance Learning
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
Ju He
Yifan Wang
Lijun Wang
Huchuan Lu
Jun-Yan He
Jinpeng Lan
Bin Luo
Yifeng Geng
Xuansong Xie
MDE
23
8
0
27 Jul 2023
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame
  Monocular Depth
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Ziyue Feng
Liang Yang
Longlong Jing
Haiyan Wang
Yingli Tian
Bing Li
MDE
26
62
0
29 Mar 2022
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion
Zhiqiang Yan
Xiang Li
Kun Wang
Zhenyu Zhang
Jun Yu Li
Jian Yang
MDE
31
32
0
18 Mar 2022
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth
  Estimation
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
Jiaxing Yan
Hong Zhao
Penghui Bu
Yusheng Jin
3DPC
MDE
13
127
0
24 Dec 2021
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph
  Convolutional Network
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network
Armin Masoumian
Hatem A. Rashwan
Saddam Abdulwahab
Julián Cristiano
D. Puig
MDE
24
54
0
13 Dec 2021
Asynchronous Collaborative Localization by Integrating Spatiotemporal
  Graph Learning with Model-Based Estimation
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
Peng Gao
Brian Reily
Rui Guo
Hongsheng Lu
Qingzhao Zhu
Hao Zhang
46
5
0
05 Nov 2021
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task
  Distillation
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation
H. Cai
J. Matai
Shubhankar Borse
Yizhe Zhang
Amin Ansari
Fatih Porikli
FedML
VLM
MDE
55
21
0
24 Oct 2021
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry
  Perception with Adaptive Cross Weighted Loss from Monocular Videos
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
Jiaojiao Fang
Guizhong Liu
3DPC
SSL
24
0
0
09 Aug 2021
Revisiting Self-Supervised Monocular Depth Estimation
Revisiting Self-Supervised Monocular Depth Estimation
Ue-Hwan Kim
Jong-Hwan Kim
SSL
MDE
36
7
0
23 Mar 2021
LoRa Backscatter Assisted State Estimator for Micro Aerial Vehicles with
  Online Initialization
LoRa Backscatter Assisted State Estimator for Micro Aerial Vehicles with Online Initialization
Shengkai Zhang
Wei Wang
Ning Zhang
Tao Jiang
28
10
0
05 Mar 2021
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint
  Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
Yang Jiao
T. Tran
Guangming Shi
35
33
0
16 Nov 2020
$S^3$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular
  Videos and Synthetic Data
S3S^3S3Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
Bin Cheng
Inderjot Singh Saggu
Raunak Shah
G. Bansal
Dinesh Bharadia
MDE
23
25
0
28 Jul 2020
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object
  Problem by Semantic Guidance
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Marvin Klingner
Jan-Aike Termöhlen
Jonas Mikolajczyk
Tim Fingscheidt
MDE
35
317
0
14 Jul 2020
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
1