126 citations · 129 across the 4 of their papers we have counts for
4 papers
Advancing Metallic Surface Defect Detection via Anomaly-Guided Pretraining on a Large Industrial Dataset
Chuni Liu, Hongjie Li, Jiaqi Du +4
The pretraining-finetuning paradigm is a crucial strategy in metallic surface defect detection for mitigating the challenges posed by data scarcity. However, its implementation pre…
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
Chuni Liu, Boyuan Ma, Xiaojuan Ban +5
Topological consistency plays a crucial role in the task of boundary segmentation for reticular images, such as cell membrane segmentation in neuron electron microscopic images, gr…
Boundary Learning by Using Weighted Propagation in Convolution Network
Wei Liu, Jiahao Chen, Chuni Liu +5
In material science, image segmentation is of great significance for quantitative analysis of microstructures. Here, we propose a novel Weighted Propagation Convolution Neural Netw…
Data augmentation in microscopic images for material data mining
Boyuan Ma, Xiaoyan Wei, Chuni Liu +10
Recent progress in material data mining has been driven by high-capacity models trained on large datasets. However, collecting experimental data (real data) has been extremely cost…