Review of robot-based damage assessment for offshore wind turbines
Offshore wind turbines are subjected to highly-varying dynamic loadings and accelerated
material degradation, resulting in the need for structural health monitoring, which increases …
material degradation, resulting in the need for structural health monitoring, which increases …
Breaking the data barrier: a review of deep learning techniques for democratizing AI with small datasets
Justifiably, while big data is the primary interest of research and public discourse, it is
essential to acknowledge that small data remains prevalent. The same technological and …
essential to acknowledge that small data remains prevalent. The same technological and …
Siamese neural network based few-shot learning for anomaly detection in industrial cyber-physical systems
With the increasing population of Industry 4.0, both AI and smart techniques have been
applied and become hotly discussed topics in industrial cyber-physical systems (CPS) …
applied and become hotly discussed topics in industrial cyber-physical systems (CPS) …
[HTML][HTML] Re-abstraction and perturbing support pair network for few-shot fine-grained image classification
The goal of few-shot fine-grained image classification (FSFGIC) is to distinguish subordinate-
level categories with subtle visual differences such as the species of bird and models of car …
level categories with subtle visual differences such as the species of bird and models of car …
Hierarchical deep multi-modal network for medical visual question answering
Abstract Visual Question Answering in Medical domain (VQA-Med) plays an important role
in providing medical assistance to the end-users. These users are expected to raise either a …
in providing medical assistance to the end-users. These users are expected to raise either a …
GPNet: gated pyramid network for semantic segmentation
Semantic segmentation is a challenging task which requires both solid unanimous global
context and rich spatial information. Recent methods ignore adaptively capturing of valid …
context and rich spatial information. Recent methods ignore adaptively capturing of valid …
Artificial intelligence in spinal imaging: current status and future directions
Y Cui, J Zhu, Z Duan, Z Liao, S Wang… - International journal of …, 2022 - mdpi.com
Spinal maladies are among the most common causes of pain and disability worldwide.
Imaging represents an important diagnostic procedure in spinal care. Imaging investigations …
Imaging represents an important diagnostic procedure in spinal care. Imaging investigations …
Few-shot and meta-learning methods for image understanding: a survey
State-of-the-art deep learning systems (eg, ImageNet image classification) typically require
very large training sets to achieve high accuracies. Therefore, one of the grand challenges is …
very large training sets to achieve high accuracies. Therefore, one of the grand challenges is …
Highlight every step: Knowledge distillation via collaborative teaching
High storage and computational costs obstruct deep neural networks to be deployed on
resource-constrained devices. Knowledge distillation (KD) aims to train a compact student …
resource-constrained devices. Knowledge distillation (KD) aims to train a compact student …
MorphoCluster: efficient annotation of plankton images by clustering
In this work, we present MorphoCluster, a software tool for data-driven, fast, and accurate
annotation of large image data sets. While already having surpassed the annotation rate of …
annotation of large image data sets. While already having surpassed the annotation rate of …