Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance

11 February 2021

Papers citing "Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance"

6 / 6 papers shown

Title
Dyna-DepthFormer: Multi-frame Transformer for Self-Supervised Depth Estimation in Dynamic Scenes Songchun Zhang Chunhui Zhao ViT MDE 28 4 0 14 Jan 2023
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation Daitao Xing Jinglin Shen C. Ho Anthony Tzes ViT MDE 26 4 0 12 Dec 2022
Source-free Depth for Object Pop-out Zongwei Wu D. Paudel Deng-Ping Fan Jingjing Wang Shuo Wang C. Demonceaux Radu Timofte Luc Van Gool 35 44 0 10 Dec 2022
On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation Haimei Zhao Jing Zhang Zhuo Chen Bo Yuan Dacheng Tao MDE 22 4 0 19 Sep 2022
Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems Dylan Auty K. Mikolajczyk VLM MDE 13 4 0 21 Apr 2022
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation Hyun-Joo Jung Eunhyeok Park S. Yoo MDE 27 108 0 19 Aug 2021