572 citations · 740 across the 10 of their papers we have counts for
10 papers
DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Zhitong Xiong, Yi Wang, Weikang Yu +7
Earth observation (EO) spans a broad spectrum of modalities, including optical, radar, multispectral, and hyperspectral data, each capturing distinct environmental signals. However…
On the Foundations of Earth and Climate Foundation Models
Xiao Xiang Zhu, Zhitong Xiong, Yi Wang +7
Foundation models have enormous potential in advancing Earth and climate sciences, however, current approaches may not be optimal as they focus on a few basic features of a desirab…
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation Models
Zhenghang Yuan, Zhitong Xiong, Lichao Mou +1
An in-depth comprehension of global land cover is essential in Earth observation, forming the foundation for a multitude of applications. Although remote sensing technology has adv…
RRSIS: Referring Remote Sensing Image Segmentation
Zhenghang Yuan, Lichao Mou, Yuansheng Hua +1
Localizing desired objects from remote sensing images is of great use in practical applications. Referring image segmentation, which aims at segmenting out the objects to which a g…
Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training
Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
The Visual Question Answering (VQA) system offers a user-friendly interface and enables human-computer interaction. However, VQA models commonly face the challenge of language bias…
Vision-Language Models in Remote Sensing: Current Progress and Future Trends
Xiang Li, Congcong Wen, Yuan Hu +2
The remarkable achievements of ChatGPT and GPT-4 have sparked a wave of interest and research in the field of large language models for Artificial General Intelligence (AGI). These…
Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images
Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu
Aiming at answering questions based on the content of remotely sensed images, visual question answering for remote sensing data (RSVQA) has attracted much attention nowadays. Howev…
From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data
Zhenghang Yuan, Lichao Mou, Qi Wang +1
Visual question answering (VQA) for remote sensing scene has great potential in intelligent human-computer interaction system. Although VQA in computer vision has been widely resea…
Change Detection Meets Visual Question Answering
Zhenghang Yuan, Lichao Mou, Zhitong Xiong +1
The Earth's surface is continually changing, and identifying changes plays an important role in urban planning and sustainability. Although change detection techniques have been su…
GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Qi Wang, Zhenghang Yuan, Qian Du +1
Change detection (CD) is an important application of remote sensing, which provides timely change information about large-scale Earth surface. With the emergence of hyperspectral i…