1 citations · 1 across the 5 of their papers we have counts for
5 papers
ProtoRAG: Prototype-Based Retrieval Augmentation for Few-Shot Fine-Grained Remote Sensing Object Detection
Jian Wang, Yuxiang Hong, Chufeng Zhou +2
Few-shot fine-grained object detection (FGOD) in remote sensing imagery is challenging because limited annotations must support both object localization and discrimination among vi…
Real-World Knowledge-Guided Change Data Synthesis for Remote Sensing
Yaoyi Qi, Xingxing Weng, Chao Pang +5
Change data synthesis provides a cost-effective solution for expanding training data and improving the performance of change detection models. However, existing synthesis methods t…
Continual Vision-Language Learning for Remote Sensing: Benchmarking and Analysis
Xingxing Weng, Ruifeng Ni, Chao Pang +5
Current remote sensing vision-language models (RS VLMs) demonstrate impressive performance in image interpretation but rely on static training data, limiting their ability to accom…
CADFormer: Fine-Grained Cross-modal Alignment and Decoding Transformer for Referring Remote Sensing Image Segmentation
Maofu Liu, Xin Jiang, Xiaokang Zhang
Referring Remote Sensing Image Segmentation (RRSIS) is a challenging task, aiming to segment specific target objects in remote sensing (RS) images based on a given language express…
Semantic-Spatial Feature Fusion with Dynamic Graph Refinement for Remote Sensing Image Captioning
Maofu Liu, Jiahui Liu, Xiaokang Zhang
Remote sensing image captioning aims to generate semantically accurate descriptions that are closely linked to the visual features of remote sensing images. Existing approaches typ…