4 citations · 5 across the 5 of their papers we have counts for
5 papers
UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers
Wei Zhang, Yuantao Wang, Haowei Yang +3
Real-world object detection is a challenging task where the captured images/videos often suffer from complex degradations due to various adverse weather conditions such as rain, fo…
EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
Wei Zhang, Miaoxin Cai, Tong Zhang +3
Recent advances in prompt learning have allowed users to interact with artificial intelligence (AI) tools in multi-turn dialogue, enabling an interactive understanding of images. H…
Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery
Wei Zhang, Miaoxin Cai, Tong Zhang +3
Ship detection needs to identify ship locations from remote sensing (RS) scenes. Due to different imaging payloads, various appearances of ships, and complicated background interfe…
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain
Wei Zhang, Miaoxin Cai, Tong Zhang +2
Multi-modal large language models (MLLMs) have demonstrated remarkable success in vision and visual-language tasks within the natural image domain. Owing to the significant diversi…
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain
Tong Zhang, Peng Gao, Hao Dong +4
Currently, under supervised learning, a model pretrained by a large-scale nature scene dataset and then fine-tuned on a few specific task labeling data is the paradigm that has dom…