6 papers
Progressive Pixel-Neighborhood Deformable Cross-Attention for Multispectral Object Detection
Tian Qiu, Jifeng Shen, Xin Zuo
Effective cross-modal feature alignment and interaction are central challenges in multispectral object detection. Although global cross-attention provides strong long-range modelin…
SFFR: Spatial-Frequency Feature Reconstruction for Multispectral Aerial Object Detection
Xin Zuo, Chenyu Qu, Haibo Zhan +2
Recent multispectral object detection methods have primarily focused on spatial-domain feature fusion based on CNNs or Transformers, while the potential of frequency-domain feature…
Multispectral State-Space Feature Fusion: Bridging Shared and Cross-Parametric Interactions for Object Detection
Jifeng Shen, Haibo Zhan, Shaohua Dong +3
Modern multispectral feature fusion for object detection faces two critical limitations: (1) Excessive preference for local complementary features over cross-modal shared semantics…
IRDFusion: Iterative Relation-Map Difference guided Feature Fusion for Multispectral Object Detection
Jifeng Shen, Haibo Zhan, Xin Zuo +4
Current multispectral object detection methods often retain extraneous background or noise during feature fusion, limiting perceptual performance. To address this, we propose an in…
Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention
Xin Zuo, Jiaran Jiang, Jifeng Shen +1
Underwater image understanding is crucial for both submarine navigation and seabed exploration. However, the low illumination in underwater environments degrades the imaging qualit…
Topology-aware Mamba for Crack Segmentation in Structures
Xin Zuo, Yu Sheng, Jifeng Shen +1
CrackMamba, a Mamba-based model, is designed for efficient and accurate crack segmentation for monitoring the structural health of infrastructure. Traditional Convolutional Neural…