SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images

15 March 2024

Papers citing "SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images"

8 / 8 papers shown

Title
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images Rohit Menon Nils Dengler Sicong Pan Gokul Krishna Chenchani Maren Bennewitz EDL 86 0 0 06 Mar 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 51 0 0 22 Jan 2025
Hybridnet for depth estimation and semantic segmentation Dalila Sánchez-Escobedo Xiao Lin J. Casas M. Pardàs SSeg MDE 20 8 0 09 Feb 2024
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model Saurabh Saxena Junhwa Hur Charles Herrmann Deqing Sun David J. Fleet DiffM 41 26 0 20 Dec 2023
OpenMixup: A Comprehensive Mixup Benchmark for Visual Classification Siyuan Li Zedong Wang Zicheng Liu Di Wu Cheng Tan Weiyang Jin Stan Z. Li VLM 41 31 0 11 Sep 2022
Revealing the Dark Secrets of Masked Image Modeling Zhenda Xie Zigang Geng Jingcheng Hu Zheng-Wei Zhang Han Hu Yue Cao VLM 186 105 0 26 May 2022
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
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 234 75,770 0 18 May 2015