1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Creating Impactful Autonomous Driving Datasets: A Strategic Guide from Research Gap to Benchmark
Richard Schwarzkopf, Jonas Merkert, Frank Bieder +22
Well-designed autonomous driving datasets have fundamentally shaped research progress, yet existing literature primarily describes what datasets contain rather than how to strategi…
cs.CV2026
Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain
Annika Bätz, Pavel Klasek, Seo-Young Ham +3
Automated train operation on existing railway infrastructure requires robust camera-based perception, yet the railway domain lacks public benchmark suites with standardized evaluat…
cs.CV2024★ 1 cited
Adversarial Attacked Teacher for Unsupervised Domain Adaptive Object Detection
Kaiwen Wang, Yinzhe Shen, Martin Lauer
Object detectors encounter challenges in handling domain shifts. Cutting-edge domain adaptive object detection methods use the teacher-student framework and domain adversarial lear…