4 papers indexed
Jakub Mandula, Sebastian Heusinger, Julian Moosmann, Christian Vogt, Michele Magno
Detecting UAVs in air spaces has become increasingly important due to UAVs widespread availability and easy usage. However, due to their small size, they are typically difficult to detect at a sufficient range. For the training of optimized detection algorithms, datasets have bee…
Jiawei Liang, Haotong Qin, Linfeng Du, Xingyu Liu, Shangkun Li, Hui Yu, et al.
Achieving nanosecond-scale inference latency for deep neural networks (DNNs) has become a primary architectural concern for latency-critical applications. While Field-Programmable Gate Arrays (FPGAs) offer a promising substrate for low-latency inference, conventional FPGA acceler…
Uzair Khan, Luigi Capogrosso, Muhammad Aqeel, Francesco Setti, Michele Magno, Marco Cristani
In modern high-throughput industrial production lines, product configurations and visual characteristics frequently change, making it impractical to collect and annotate data for every new scenario. This dynamic setting makes Zero-Shot Anomaly Detection (ZSAD) particularly suitab…
Nicolas Baumann, Liam Boyle, Pu Deng, Edoardo Ghignone, Boyang Sun, Marc Pollefeys, et al.
Vision Language Models (VLMs) have emerged in the robotic domain as a powerful tool that enables environmental perception with language context, serving as a catalyst for open-vocabulary tasks like ObjectNav. Yet, their computational footprint typically confines them to cloud exe…