The revenge of BiSeNet: Efficient Multi-Task Image Segmentation

arXiv:2404.09570v1 Announce Type: new
Abstract: Recent advancements in image segmentation have focused on enhancing the efficiency of the models to meet the demands of real-time applications, especially on edge devices. However, existing research has primarily concentrated on single-task settings, especially on semantic segmentation, leading to redundant efforts and specialized architectures for different tasks. To address this limitation, we propose a novel architecture for efficient multi-task image segmentation, capable of handling various segmentation tasks without sacrificing efficiency or accuracy. We introduce …

abstract applications architectures arxiv cs.cv devices edge edge devices efficiency however image real-time real-time applications research segmentation semantic type