arXiv (All)
open access
A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios
Vehicle attribute analysis is a key component of Intelligent Transportation Systems (ITS), supporting applications such as vehicle identification, traffic monitoring, and forensic investigation. However, models trained under controlled conditions often degrade in real surveillance scenarios due to c
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
- Intriguing properties of robust classification#433598
- SSP-GNN: Learning to Track via Bilevel Optimization#1049579
- Online Multi-Camera 3D Tracking via ID Prediction over Recurrent Sparse Queries#1012551
- The Race to Robustness: Exploiting Fragile Models for Urban Camouflage and the Imperative for Machine Learning Security#240965
- Adversarial Robustness of Traffic Classification under Resource Constraints: Input Structure Matters#923120
Record · ID 821608
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