7 papers
UVLM: Benchmarking Video Language Model for Underwater World Understanding
Xizhe Xue, Yang Zhou, Dawei Yan +5
Recently, the remarkable success of large language models (LLMs) has achieved a profound impact on the field of artificial intelligence. Numerous advanced works based on LLMs have…
OS-W2S: An Automatic Labeling Engine for Language-Guided Open-Set Aerial Object Detection
Guoting Wei, Yu Liu, Xia Yuan +7
In recent years, language-guided open-set aerial object detection has gained significant attention due to its better alignment with real-world application needs. However, due to li…
RT-OVAD: Real-Time Open-Vocabulary Aerial Object Detection via Image-Text Collaboration
Guoting Wei, Xia Yuan, Yu Liu +7
Aerial object detection plays a crucial role in numerous applications. However, most existing methods focus on detecting predefined object categories, limiting their applicability…
Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives
Yang Zhou, Junjie Li, CongYang Ou +3
Due to its extensive applications, aerial image object detection has long been a hot topic in computer vision. In recent years, advancements in Unmanned Aerial Vehicles (UAV) techn…
Regression in EO: Are VLMs Up to the Challenge?
Xizhe Xue, Xiao Xiang Zhu
Earth Observation (EO) data encompass a vast range of remotely sensed information, featuring multi-sensor and multi-temporal, playing an indispensable role in understanding our pla…
Advancements in Visual Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniques
Lijie Tao, Haokui Zhang, Haizhao Jing +4
Recently, the remarkable success of ChatGPT has sparked a renewed wave of interest in artificial intelligence (AI), and the advancements in visual language models (VLMs) have pushe…