arXiv (All)
open access
Weather-Aware Domain Adaptation for Street-View Weather Recognition
Adverse conditions such as rain, snow, fog, and dust remain challenging for camera-based perception in autonomous driving. We study multi-class weather recognition from street-view images under domain shift, where most available training data come from non-street-view sources that differ markedly fr
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
- Weather-Aware Domain Adaptation for Street-View Weather Recognition#1161049
- Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions#1084777
- Acoustic domain shift in spoken language identification from systematic domain generalization evaluation to real-world application#1115715
- Generative Classifier for Domain Generalization#1117222
- HSI-Road Relabeled: Surface-Aware Road-Scene Segmentation#1000117
Record · ID 1157348
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