1 citations · 1 across the 4 of their papers we have counts for
4 papers
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs
Mengze Xu, Jie Ma, Yuanyuan Zhu
Previous super-resolution reconstruction (SR) works are always designed on the assumption that the degradation operation is fixed, such as bicubic downsampling. However, as for rem…
Scribble-Supervised Target Extraction Method Based on Inner Structure-Constraint for Remote Sensing Images
Yitong Li, Chang Liu, Jie Ma
Weakly supervised learning based on scribble annotations in target extraction of remote sensing images has drawn much interest due to scribbles' flexibility in denoting winding obj…
Weakly-supervised ROI extraction method based on contrastive learning for remote sensing images
Lingfeng He, Mengze Xu, Jie Ma
ROI extraction is an active but challenging task in remote sensing because of the complicated landform, the complex boundaries and the requirement of annotations. Weakly supervised…
Context-Aware Data Augmentation for LIDAR 3D Object Detection
Xuzhong Hu, Zaipeng Duan, Jie Ma
For 3D object detection, labeling lidar point cloud is difficult, so data augmentation is an important module to make full use of precious annotated data. As a widely used data aug…