Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation

20 November 2022

Papers citing "Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation"

7 / 7 papers shown

Title
Depth Estimation Algorithm Based on Transformer-Encoder and Feature Fusion Linhan Xia Junbang Liu Tong Wu ViT MDE 38 0 0 03 Mar 2024
GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu Shalini De Mello Sifei Liu Wonmin Byeon Thomas Breuel Jan Kautz Xinyu Wang ViT VLM 189 499 0 22 Feb 2022
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features Min Yang Dongliang He M. Fan Baorong Shi Xuetong Xue Fu Li Errui Ding Jizhou Huang 43 92 0 06 Aug 2021
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images Lei He Jiwen Lu Guanghui Wang Shiyu Song Jie Zhou 44 69 0 19 Jan 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 195 3,531 0 20 Aug 2019
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 200 1,708 0 06 Jun 2018
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 195 5,176 0 16 Sep 2016