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Found 4 papers, 4 papers with code
SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model
Specifically, after projecting RS visual features to the language domain via an alignment layer, they are fed jointly with task-specific instructions into an LLM-based RS decoder to predict answers for RS open-ended tasks.
Mono3DVG: 3D Visual Grounding in Monocular Images
To foster this task, we propose Mono3DVG-TR, an end-to-end transformer-based network, which takes advantage of both the appearance and geometry information in text embeddings for multi-modal learning and 3D object localization.
Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval
To address this issue, in this work, we investigate the parameter-efficient transfer learning (PETL) method to effectively and efficiently transfer visual-language knowledge from the natural domain to the RS domain on the image-text retrieval task.
Ranked #3 on
Cross-Modal Retrieval
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RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data
However, the object-level visual grounding on RS images is still under-explored.
