12 citations · 23 across the 6 of their papers we have counts for
5 papers · 1 filter
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
Kai Norman Clasen, Leonard Hackel, Tom Burgert +3
This paper presents refined BigEarthNet (reBEN) that is a large-scale, multi-modal remote sensing dataset constructed to support deep learning (DL) studies for remote sensing image…
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert, Kai Norman Clasen, Jonas Klotz +2
The development of supervised deep learning-based methods for multi-label scene classification (MLC) is one of the prominent research directions in remote sensing (RS). However, co…
Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification
David Hoffmann, Kai Norman Clasen, Begüm Demir
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…
LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing
Leonard Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh +1
Visual question answering (VQA) methods in remote sensing (RS) aim to answer natural language questions with respect to an RS image. Most of the existing methods require a large am…
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing
Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh +1
With the new generation of satellite technologies, the archives of remote sensing (RS) images are growing very fast. To make the intrinsic information of each RS image easily acces…