Despite progress in vision-based inspection algorithms, real-world indus...
Convolution-BatchNorm (ConvBN) blocks are integral components in various...
Railway operations involve different types of entities (stations, trains...
Generative adversarial networks (GANs), trained on a large-scale image
d...
Visual anomaly detection, an important problem in computer vision, is us...
Unsupervised pixel-level defective region segmentation is an important t...
Display front-of-screen (FOS) quality inspection is essential for the ma...
Graph Neural Networks (GNNs) have achieved great success in various task...
As the adoption of deep learning techniques in industrial applications g...
Message passing is the core of most graph models such as Graph Convoluti...
As the applications of deep learning models on edge devices increase at ...
Log-Structured-Merge (LSM) tree-based key value stores are facing critic...
Imagining a disk which provides baseline performance at a relatively low...
The study of phase transition phenomenon of NP complete problems plays a...