Sep 4, 2024 · ... normalize the normal vectors to ensure their unit length. ... Zhang, “Ha-bins: Hierarchical adaptive bins for robust monocular depth estimation ...

normalization and leaky ReLU layer are appended to each intermediate train- ... also preserves high-level features to facilitate more robust depth estimation.

(2022) Hierarchical Normalization for Robust Monocular Depth Estimation Chi Zhang, Wei Yin, Billzb Wang, Gang Yu, BIN FU, Chunhua Shen; (2022) Fully ...

Hierarchical Normalization for Robust Monocular Depth Estimation. NeurIPS ... Hierarchical Normalization for Robust Monocular Depth Estimation. CoRR ...

In contrast, the proposed model is robust to such visual pits. The results are best viewed in PDF. In this paper, we propose a novel MDE model referred to as ...

The experiments confirm that mixing data from complementary sources greatly improves monocular depth estimation. Our approach clearly outperforms competing ...

Nov 26, 2022 · This document proposes a hierarchical normalization method called HDN to enable robust monocular depth estimation. HDN normalizes depth maps ...

Hierarchical Normalization for Robust Monocular Depth Estimation · pdf icon · hmtl icon · Chi Zhang, Wei Yin, Billzb Wang, Gang Yu, Bin Fu, Chunhua Shen.

... depth and semantics. Paper · Add Code · Hierarchical Normalization for Robust Monocular Depth Estimation. no code yet • 18 Oct 2022. In this paper, we address ...

Hierarchical normalization for robust monocular depth estimation. In Adv. Neural Inform. Process. Syst. (NeurIPS), pages 14128–14139,. 2022. 2, 3. [63] Ning ...