SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from
Monocular images

SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images

19 January 2021

Jie Zhou

Papers citing "SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images"

8 / 8 papers shown

Title
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 24 49 0 13 Feb 2023
PanDepth: Joint Panoptic Segmentation and Depth Completion J. Lagos Esa Rahtu 3DPC VLM 22 1 0 29 Dec 2022
DepthFake: a depth-based strategy for detecting Deepfake videos Luca Maiano Lorenzo Papa Ketbjano Vocaj Irene Amerini 11 8 0 23 Aug 2022
Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs Tianxiao Zhang Bo Luo A. Sharda Guanghui Wang 25 17 0 23 Jan 2022
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network Armin Masoumian Hatem A. Rashwan Saddam Abdulwahab Julián Cristiano D. Puig MDE 19 51 0 13 Dec 2021
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Yiju Yang Taejoon Kim Guanghui Wang 32 2 0 02 Aug 2021
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 180 1,687 0 06 Jun 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015