electronic library
metadata only
Combining Deep and Shallow Neural Networks with ad hoc Detectors for the Classification of Complex Multi-modal Urban Scenes
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
- Microsoft COCO: Common Objects in Context#6287
- Multi-modal panoramic 3D outdoor datasets for place categorization#14107
- Open-vocabulary 3D object detection with promptable segmentation#1013955
- Urban Street Cleanliness Assessment using Machine Learning#726600
- Vision Harnessing Agent for Open Ad-hoc Segmentation#1130557
Record · ID 344036
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