Tech Xplore

Novel AI method sharpens 3D X-ray vision

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
Rock Paper Shotgun

Nvidia reveals DLSS 4.5 with anti-aliasing upgrades and a dynamic, if slightly mad, 6x frame gen mode

Its Super Resolution component is a second-generation upgrade to the 'Transformer' upscaling model introduced with DLSS 4, ...
Frontiers

CDPNet: a deformable ProtoPNet for interpretable wheat leaf disease identification

1 College of Information and Network Engineering, Anhui Science and Technology University, Bengbu, Anhui, China 2 State Key Laboratory of Media Convergence and Communication, Communication University ...
IEEE

Adaptive Transfer Learning With Deformable Convolution for Wafer Defect Pattern Recognition

Abstract: The convolutional neural network (CNN) based model has been widely used for wafer map defect pattern recognition. However, it often fails to detect patterns effectively after a few months of ...
IEEE

Revisiting Deformable Convolution on Graphs: Large-range Modeling and Robustness

Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...
Scientific Research Publishing

Cao, W. and Chen, X. (2019) Deformable Convolutional Networks Tracker.

ABSTRACT: Industrial appearance anomaly detection (AD) focuses on accurately identifying and locating abnormal regions in images. However, due to issues such as scarce abnormal samples, complex ...