5 papers
Scaling Representation Diversity: Modulated Attention and Reconstructive Regularization for Visual Grounding
Junyi Hu, Tian Bai, Fengyi Wu +7
Referring Expression Comprehension (REC) is commonly studied under dataset-specific fine-tuning, resulting in specialist models with limited cross-dataset generalization. In this w…
FeedbackSTS-Det: Sparse Frames-Based Spatio-Temporal Semantic Feedback Network for Moving Infrared Small Target Detection
Yian Huang, Qing Qin, Aji Mao +4
Infrared small target detection (ISTD) has been a critical technology in defense and civilian applications over the past several decades, such as missile warning, maritime surveill…
DATransNet: Dynamic Attention Transformer Network for Infrared Small Target Detection
Chen Hu, Yian Huang, Kexuan Li +5
Infrared small target detection (ISTD) is widely used in civilian and military applications. However, ISTD encounters several challenges, including the tendency for small and dim t…
Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
Yian Huang, Yang Feng, Zhiliang Ying
Representation-based multi-task learning (MTL) improves efficiency by learning a shared structure across tasks, but its practical application is often hindered by contamination, ou…
SMPISD-MTPNet: Scene Semantic Prior-Assisted Infrared Ship Detection Using Multi-Task Perception Networks
Chen Hu, Xiaogang Dong, Yian Huang Lele Wang +3
Infrared ship detection (IRSD) has received increasing attention in recent years due to the robustness of infrared images to adverse weather. However, a large number of false alarm…