TSMNet uses a dual-branch text encoder and text-guided fusion module to integrate scene-level semantic and object-level label features from text with visual embeddings, achieving superior open-vocabulary segmentation on new multimodal remote sensing datasets.
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Open-Vocabulary Semantic Segmentation Network Integrating Object-Level Label and Scene-Level Semantic Features for Multimodal Remote Sensing Images
TSMNet uses a dual-branch text encoder and text-guided fusion module to integrate scene-level semantic and object-level label features from text with visual embeddings, achieving superior open-vocabulary segmentation on new multimodal remote sensing datasets.