# Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired Source: [Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired]() Collection index: [llms.txt]() Data updated: 2025-10-25T23:00:47.140Z Authors: Wei Mao, Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen Published: 2021-03-06T14:45:46.000Z ## Abstract Classic computer vision algorithms, instance segmentation, and semantic segmentation can not provide a holistic understanding of the surroundings for the visually impaired. In this paper, we utilize panoptic segmentation to assist the navigation of visually impaired people by offering both things and stuff awareness in the proximity of the visually impaired efficiently. To this end, we propose an efficient Attention module -- Lintention which can model long-range interactions in linear time using linear space. Based on Lintention, we then devise a novel panoptic segmentation model which we term Panoptic Lintention Net. Experiments on the COCO dataset indicate that the Panoptic Lintention Net raises the Panoptic Quality (PQ) from 39.39 to 41.42 with 4.6\\% performance gain while only requiring 10\\% fewer GFLOPs and 25\\% fewer parameters in the semantic branch. Furthermore, a real-world test via our designed compact wearable panoptic segmentation system, indicates that our system based on the Panoptic Lintention Net accomplishes a relatively stable and exceptionally remarkable panoptic segmentation in real-world scenes. ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. ## Original sources and implementation [Original paper]() [PDF]()