2 papers
cs.CV2026
An Analysis of Multi-Task Architectures for the Hierarchic Multi-Label Problem of Vehicle Model and Make Classification
Alexandru Manole, Laura Diosan
Most information in our world is organized hierarchically; however, many Deep Learning approaches do not leverage this semantically rich structure. Research suggests that human lea…
cs.CV2024
ContRail: A Framework for Realistic Railway Image Synthesis using ControlNet
Andrei-Robert Alexandrescu, Razvan-Gabriel Petec, Alexandru Manole +1
Deep Learning became an ubiquitous paradigm due to its extraordinary effectiveness and applicability in numerous domains. However, the approach suffers from the high demand of data…