We propose a Transformer architecture for volumetric segmentation, a challenging task that
requires kee** a complex balance in encoding local and global spatial cues, and …

Increasing industry acceptance of powder bed metal Additive Manufacturing requires
improved real-time detection and classification of anomalies. Many of these anomalies, such …

In-situ detection of processing defects is a critical challenge for Laser Powder Bed Fusion
Additive Manufacturing. Many of these defects are related to interactions between the …

Abstract You Only Look Once (YOLO) algorithms deliver state-of-the-art performance in
object detection. This research proposes a novel one-stage YOLO-based algorithm that …

Object detection is a core part of an intelligent surveillance system and a fundamental
algorithm in the field of identity identification, which is of great practical importance. Since …

Two-photon lithography (TPL) is an additive manufacturing technique for fabricating three-
dimensional objects with nanoscale features. A main challenge of TPL is the routine and …

Satellite image classification is the core of satellite image interpretation. The traditional
shallow learning classification algorithm is difficult to extract remote sensing image features …

Background and objective Phase contrast magnetic resonance imaging (4D flow MRI) is an
imaging technique able to provide blood velocity in vivo and morphological information. This …

The most commonly encountered problem in vision systems includes its capability to suffice
for different scenes containing the object of interest to be detected. Generally, the different …

Background Methods based on the combination of transformer and convolutional neural
networks (CNNs) have achieved impressive results in the field of medical image …