3 papers
cs.CV2026
Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality
Melanie Wille, Dimity Miller, Tobias Fischer +1
Underwater object detection is strongly affected by domain shift, where performance can vary significantly across different locations, habitats, and deployment conditions. However,…
cs.CV2026
Why Domain Matters: A Preliminary Study of Domain Effects in Underwater Object Detection
Melanie Wille, Dimity Miller, Tobias Fischer +1
Domain shift, where deviations between training and deployment data distributions degrade model performance, is a key challenge in underwater environments. Existing benchmarks test…
cs.CV2025
Are All Marine Species Created Equal? Performance Disparities in Underwater Object Detection
Melanie Wille, Tobias Fischer, Scarlett Raine
Underwater object detection is critical for monitoring marine ecosystems but poses unique challenges, including degraded image quality, imbalanced class distribution, and distinct…