3 papers
cs.CV2026
AquaFeat+: an Underwater Vision Learning-based Enhancement Method for Object Detection, Classification, and Tracking
Emanuel da Costa Silva, Tatiana Taís Schein, José David García Ramos +4
Underwater video analysis is particularly challenging due to factors such as low lighting, color distortion, and turbidity, which compromise visual data quality and directly impact…
cs.CV2025
Sonar Image Datasets: A Comprehensive Survey of Resources, Challenges, and Applications
Larissa S. Gomes, Gustavo P. Almeida, Bryan U. Moreira +6
Sonar images are relevant for advancing underwater exploration, autonomous navigation, and ecosystem monitoring. However, the progress depends on data availability. The scarcity of…
cs.CV2025
AquaFeat: A Features-Based Image Enhancement Model for Underwater Object Detection
Emanuel C. Silva, Tatiana T. Schein, Stephanie L. Brião +7
The severe image degradation in underwater environments impairs object detection models, as traditional image enhancement methods are often not optimized for such downstream tasks.…