1 citations · 2 across the 6 of their papers we have counts for
6 papers
RUFNet: Query-Guided Support Mask Refinement and Uncertainty Fusion based on Hybrid Mamba for Few-Shot Brain Tumor Segmentation
Dongyi He, Xiangkai Wang, Binbing Xu +5
Few-shot brain tumor segmentation remains challenging due to noisy support masks, inter-patient variations between support and query images, and the lack of pixel-wise confidence e…
Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection
You Zhou, Jiangshan Zhao, Deyu Zeng +3
Unsupervised Continuous Anomaly Detection (UCAD) faces significant challenges in multi-task representation learning, with existing methods suffering from incomplete representation…
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection
Jiezhou Chen, Guankun Wang, Weixiang Liu +3
Head detection provides distribution information of pedestrian, which is crucial for scene statistical analysis, traffic management, and risk assessment and early warning. However,…
Edge-aware Plug-and-play Scheme for Semantic Segmentation
Jianye Yi, Xiaopin Zhong, Weixiang Liu +3
Semantic segmentation is a classic and fundamental computer vision problem dedicated to assigning each pixel with its corresponding class. Some recent methods introduce edge-based…
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
Xiaopin Zhong, Guankun Wang, Weixiang Liu +2
As a fundamental computer vision task, crowd counting plays an important role in public safety. Currently, deep learning based head detection is a promising method for crowd counti…
Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images
Jianye Yi, Xiaopin Zhong, Weixiang Liu +3
The continuous development of the photovoltaic (PV) industry has raised high requirements for the quality of monocrystalline of PV module cells. When learning to segment defect reg…