5 papers
Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection
Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi
Source-free domain-adaptive object detection is an interesting but scarcely addressed topic. It aims at adapting a source-pretrained detector to a distinct target domain without re…
An analysis of vision-language models for fabric retrieval
Francesco Giuliari, Asif Khan Pattan, Mohamed Lamine Mekhalfi +1
Effective cross-modal retrieval is essential for applications like information retrieval and recommendation systems, particularly in specialized domains such as manufacturing, wher…
The RaspGrade Dataset: Towards Automatic Raspberry Ripeness Grading with Deep Learning
Mohamed Lamine Mekhalfi, Paul Chippendale, Fabio Poiesi +3
This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry…
Orange Quality Grading with Deep Learning
Mohamed Lamine Mekhalfi, Paul Chippendale, Francisco Fraile +1
Orange grading is a crucial step in the fruit industry, as it helps to sort oranges according to different criteria such as size, quality, ripeness, and health condition, ensuring…
Wild Berry image dataset collected in Finnish forests and peatlands using drones
Luigi Riz, Sergio Povoli, Andrea Caraffa +13
Berry picking has long-standing traditions in Finland, yet it is challenging and can potentially be dangerous. The integration of drones equipped with advanced imaging techniques r…