Kim, Soomin Park, Juyoun 2024-06-25T04:32:34Z 2024-06-25T04:32:34Z 2024-06-25 2024-06 https://pubs.kist.re.kr/handle/201004/150116 We, humans, perceive the scene utilizing pre-learned language categories. Our vocabulary system inherently possesses a hierarchy, aiding humans in understanding scenes at multiple levels. For example, when a person passes by chairs and desks from a distance rather than interacting with them up close, the objects are perceived from a broader perspective and recognized as furniture at a higher category level. In this work, we propose a multi-level semantic segmentation data generation method based on a scene-specific word tree to mimic human multi-level scene recognition. Multi-level semantic segmentation data encompasses diverse levels of grouped segmented areas with different degrees of detail, from the finest level of conventional semantic segmentation to coarser levels. Our scene-specific word trees leverage linguistic hierarchies to group scene components by considering relationships between words present in the scene. Furthermore, in the proposed data generation method, each word tree is constructed within a single image, allowing us to group the objects into user-selected levels, taking into account the relative relationship between objects in that scene. We demonstrate the effectiveness of our data generation method by building a multi-level scene segmentation network and training the model with the generated dataset, which reflects the scene-specific word tree. English Institute of Electrical and Electronics Engineers Inc. Multi-Level Segmentation Data Generation based on a Scene-Specific Word Tree Article 10.1109/access.2024.3418515 1 IEEE Access, v.12, pp.88202 - 88215 IEEE Access 12 88202 88215 Y scie scopus 001258792500001 Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Telecommunications Article Semantics Visualization Semantic segmentation Training Image recognition Data models Segmentation semantic grouping language hierarchy dataset generation multi-level analysis Image segmentation