[HTML][HTML] Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends
Remote sensing image scene classification (RSI-SC) is crucial for various high-level
applications, including RSI retrieval, image captioning, and object detection. Deep learning …
applications, including RSI retrieval, image captioning, and object detection. Deep learning …
Rsgpt: A remote sensing vision language model and benchmark
The emergence of large-scale large language models, with GPT-4 as a prominent example,
has significantly propelled the rapid advancement of artificial general intelligence and …
has significantly propelled the rapid advancement of artificial general intelligence and …
Advances and challenges in deep learning-based change detection for remote sensing images: A review through various learning paradigms
Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting
changes in the Earth's surface, finding wide applications in urban planning, disaster …
changes in the Earth's surface, finding wide applications in urban planning, disaster …
Remote sensing vision-language foundation models without annotations via ground remote alignment
We introduce a method to train vision-language models for remote-sensing images without
using any textual annotations. Our key insight is to use co-located internet imagery taken on …
using any textual annotations. Our key insight is to use co-located internet imagery taken on …
Bootstrapping interactive image-text alignment for remote sensing image captioning
Recently, remote sensing image captioning (RSIC) has gained significant attention in the
remote sensing community. Due to the significant differences in spatial resolution of remote …
remote sensing community. Due to the significant differences in spatial resolution of remote …
Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model
The revolutionary capabilities of large language models (LLMs) have paved the way for
multimodal large language models (MLLMs) and fostered diverse applications across …
multimodal large language models (MLLMs) and fostered diverse applications across …
Patfig: Generating short and long captions for patent figures
Abstract This paper introduces Qatent PatFig, a novel large-scale patent figure dataset
comprising 30,000+ patent figures from over 11,000 European patent applications. For each …
comprising 30,000+ patent figures from over 11,000 European patent applications. For each …
Large language models for captioning and retrieving remote sensing images
Image captioning and cross-modal retrieval are examples of tasks that involve the joint
analysis of visual and linguistic information. In connection to remote sensing imagery, these …
analysis of visual and linguistic information. In connection to remote sensing imagery, these …
Towards an Exhaustive Evaluation of Vision-Language Foundation Models
Vision-language foundation models have had considerable increase in performances in the
last few years. However, there is still a lack of comprehensive evaluation methods able to …
last few years. However, there is still a lack of comprehensive evaluation methods able to …
Brain-inspired remote sensing foundation models and open problems: A comprehensive survey
The foundation model (FM) has garnered significant attention for its remarkable transfer
performance in downstream tasks. Typically, it undergoes task-agnostic pretraining on a …
performance in downstream tasks. Typically, it undergoes task-agnostic pretraining on a …