5 papers
ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation
Yanguang Sun, Hengmin Zhang, Jianjun Qian +2
Early identification and removal of polyps can reduce the risk of developing colorectal cancer. However, the diverse morphologies, complex backgrounds and often concealed nature of…
Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation
Yanguang Sun, Chao Wang, Jian Yang +1
Accurately localizing and segmenting relevant objects from optical remote sensing images (ORSIs) is critical for advancing remote sensing applications. Existing methods are typical…
Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts
Yanguang Sun, Jiawei Lian, Jian Yang +1
Large-scale foundation models provide powerful feature representations for downstream object segmentation tasks. However, when adapted to specific tasks through the full-parameter…
Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images
Yanguang Sun, Jiexi Yan, Jianjun Qian +3
Automatically segmenting objects from optical remote sensing images (ORSIs) is an important task. Most existing models are primarily based on either convolutional or Transformer fe…
United Domain Cognition Network for Salient Object Detection in Optical Remote Sensing Images
Yanguang Sun, Jian Yang, Lei Luo
Recently, deep learning-based salient object detection (SOD) in optical remote sensing images (ORSIs) have achieved significant breakthroughs. We observe that existing ORSIs-SOD me…