The rapid advancements in generative artificial intelligence are set to significantly influence
the medical sector, particularly ophthalmology. Generative adversarial networks and …

We present a specialized procedural model for generating synthetic agricultural scenes
focusing on soybean crops along with various weeds. The model simulates distinct growth …

Existing pose estimation models perform poorly on wheelchair users due to a lack of
representation in training data. We present a data synthesis pipeline to address this disparity …

Improving the automatic and timely recognition of construction and demolition waste
(C&DW) composition is crucial for enhancing business returns, economic outcomes, and …

Industrial-quality inspections, particularly those leveraging AI, require significant amounts of
training data. In fields like injection molding, producing a multitude of defective parts for such …

Περίληψη Το ολοένα και αυξανόμενο ενδιαφέρον για αποτελεσματικές μεθόδους ανίχνευσης
αντικειμένων στο επίπεδο παραγωγής έχει ωθήσει την αναζήτηση καινοτόμων λύσεων για την …

Computer simulation is a powerful technique to create synthetic images for the testing of
computer vision algorithms. However, the discrepancies caused by inconsistencies between …