MPerS dynamically mixes semantic guidance from MLLM-generated RS captions with DINOv3 features via MixExperts and Linguistic Query Guided Attention to achieve superior semantic segmentation on three public remote sensing datasets.
Dynamic updates for language adaptation in visual-language tracking
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation
MPerS dynamically mixes semantic guidance from MLLM-generated RS captions with DINOv3 features via MixExperts and Linguistic Query Guided Attention to achieve superior semantic segmentation on three public remote sensing datasets.