869 citations · 1.3k across the 4 of their papers we have counts for
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Dense Center-Direction Regression for Object Counting and Localization with Point Supervision
Domen Tabernik, Jon Muhovič, Danijel Skočaj
Object counting and localization problems are commonly addressed with point supervised learning, which allows the use of less labor-intensive point annotations. However, learning b…
Center Direction Network for Grasping Point Localization on Cloths
Domen Tabernik, Jon Muhovič, Matej Urbas +1
Object grasping is a fundamental challenge in robotics and computer vision, critical for advancing robotic manipulation capabilities. Deformable objects, like fabrics and cloths, p…
Mixed supervision for surface-defect detection: from weakly to fully supervised learning
Jakob Božič, Domen Tabernik, Danijel Skočaj
Deep-learning methods have recently started being employed for addressing surface-defect detection problems in industrial quality control. However, with a large amount of data need…
End-to-end training of a two-stage neural network for defect detection
Jakob Božič, Domen Tabernik, Danijel Skočaj
Segmentation-based, two-stage neural network has shown excellent results in the surface defect detection, enabling the network to learn from a relatively small number of samples. I…
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition
Domen Tabernik, Danijel Skočaj
Automatic detection and recognition of traffic signs plays a crucial role in management of the traffic-sign inventory. It provides accurate and timely way to manage traffic-sign in…
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
Domen Tabernik, Samo Šela, Jure Skvarč +1
Automated surface-anomaly detection using machine learning has become an interesting and promising area of research, with a very high and direct impact on the application domain of…