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Found 4 papers, 1 papers with code
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing
We finally derive a guideline to exploit masked image modeling for uni-modal and cross-modal CBIR problems in RS.
Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification
In this paper, we introduce a novel Synchronized Class Token Fusion (SCT Fusion) architecture in the framework of multi-modal multi-label classification (MLC) of remote sensing (RS) images.
LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing
Visual question answering (VQA) methods in remote sensing (RS) aim to answer natural language questions with respect to an RS image.
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing
To make the intrinsic information of each RS image easily accessible, visual question answering (VQA) has been introduced in RS.
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