# Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/stronger-steadier-and-amp-superior-geometric-consistency-in-depth-vfm-forges/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Siyu Chen,Ting Han,Changshe Zhang,Xin Luo,Meiliu Wu,Guorong Cai,Jinhe Su |
| Citations | 0 |
| DOI | 10.48550/arxiv.2504.12753 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://eprints.gla.ac.uk/view/author/78490.html> |
| OpenAlex ID | https://openalex.org/W4417090428 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Changshe Zhang](https://scholariq.org/researchers/changshe-zhang/)

## Paper primary topic

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Paper topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Visual Attention and Saliency Detection](https://scholariq.org/topics/visual-attention-and-saliency-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.