8 papers
Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer Attention
Chaowen Yan, Kaishen Wang, Yong Wang +2
Oracle Bone Inscriptions (OBIs) recognition plays a crucial role in understanding ancient Chinese culture. However, accurately recognizing OBIs remains highly challenging due to th…
BP-TTA: Balanced and Prototype-Guided Test-Time Adaptation in Dynamic Scenarios
Shaoyang Huang, Yashi Zhu, Yichen Yu +3
Test-Time Adaptation (TTA) enables models trained on a source domain to adapt online to unlabeled test data under distribution shifts. While recent TTA methods have moved beyond st…
Enhancing Layer Interaction Using Key-Correlated Layer Attention
Jianlong Xiong, ChuanBo Xie, Le Yu +2
Recent advances in network architecture design have introduced layer attention to enhance inter-layer interactions. In such frameworks, each layer queries all preceding layers to e…
DCSNet: Multiscale Feature Aggregation for Small Medical Object Segmentation with Detection-guided Hierarchical Cropping
Shanfeng Zhang, Bo Gou, Yue Cao +3
Small object segmentation in medical imaging is primarily hindered by class imbalance and inherent boundary complexity. Consequently, conventional global networks frequently fail t…
Spatio-Temporal Fusion Model for Standard View Classification of Echocardiographic Videos
Bo Gou, Jicheng Zhang, Jianlong Xiong +9
Automated classification of standard echocardiographic views is crucial for efficient clinical workflow but faces three main challenges. First, publicly available datasets are scar…
Enhancing Feature Fusion of U-like Networks with Dynamic Skip Connections
Yue Cao, Quansong He, Kaishen Wang +3
U-like networks have become fundamental frameworks in medical image segmentation through skip connections that bridge high-level semantics and low-level spatial details. Despite th…