Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised
Monocular Depth Estimation

Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth Estimation

8 October 2022

Xiaoqing Ye

Xiao Tan

Papers citing "Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth Estimation"

4 / 4 papers shown

Title
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation Rui Peng Ronggang Wang Yawen Lai Luyang Tang Yangang Cai MDE 64 72 0 26 Sep 2021
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments Hanjiang Hu B. Yang Zhijian Qiao Shiqi Liu Weiang Shi Zuxin Liu Wenhao Ding Ding Zhao Hesheng Wang VLM MDE 27 14 0 09 Nov 2020
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 3,529 0 20 Aug 2019
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Mingming Gong Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 185 1,707 0 06 Jun 2018