ReSaP: Reasoning-Enhanced and Scale-Aware Prompting for Referring Remote Sensing Image Segmentation
Recent research has actively explored diverse mechanisms to unlock pixel-level segmentation capabilities in multimodal large language models (MLLMs), aiming to bridge the gap between high-level semantic reasoning and fine-grained visual perception. However, directly transferring these general-domain...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
IEEE
2026-01-01
|
| Rangatū: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Ngā marau: | |
| Urunga tuihono: | https://ieeexplore.ieee.org/document/11367764/ |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|