4 papers
Evaluating Histogram Matching for Robust Deep learning-Based Grapevine Disease Detection
Ruben Pascual, Inés Hernández, Salvador Gutiérrez +4
Variability in illumination is a primary factor limiting deep learning robustness for field-based plant disease detection. This study evaluates Histogram Matching (HM), a technique…
Spatially-Aware Evaluation Framework for Aerial LiDAR Point Cloud Semantic Segmentation: Distance-Based Metrics on Challenging Regions
Alex Salvatierra, José Antonio Sanz, Christian Gutiérrez +1
Semantic segmentation metrics for 3D point clouds, such as mean Intersection over Union (mIoU) and Overall Accuracy (OA), present two key limitations in the context of aerial LiDAR…
Benchmarking Deep Learning Models for Aerial LiDAR Point Cloud Semantic Segmentation under Real Acquisition Conditions: A Case Study in Navarre
Alex Salvatierra, José Antonio Sanz, Christian Gutiérrez +1
Recent advances in deep learning have significantly improved 3D semantic segmentation, but most models focus on indoor or terrestrial datasets. Their behavior under real aerial acq…
Few-shot multi-token DreamBooth with LoRa for style-consistent character generation
Ruben Pascual, Mikel Sesma-Sara, Aranzazu Jurio +2
The audiovisual industry is undergoing a profound transformation as it is integrating AI developments not only to automate routine tasks but also to inspire new forms of art. This…