HAL (France)
open access
Adapting Depth Foundation Models to 360° Imagery for Offshore Industrial Inspection
Offshore oil platforms require reliable inspection methods to ensure structural integrity and detect corrosion in complex industrial environments. While LiDAR sensors provide accurate metric depth measurements, their deployment is costly, requires specialized equipment, and is not always practical f
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Dyna3: VLM-Guided Training-Free 4D Reconstruction via Depth Foundation Models#1156558
- ARC-Loc: Leveraging Azimuthal Ray Convergence as a Geometric Cue for Direct Cross-View Localization#971928
- Data for "Direct comparison of different probe positioning and pointing schemes for plume measurements using an Advanced Cusp Field Thruster"#227143
- Realistic deepfakes are detected better from a single glance than deliberate inspection#331624
- Dual-Phase Flow Matching for Probabilistic Source Detection and Measurement in Astronomical Images#1413160
Record · ID 1480010
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive