「Anomaly Detection」の検索結果
16 件We introduce GLASS, a framework for graph-level anomaly detection (GLAD) that achieves robust cross-domain tra
As the scale of video surveillance data outpaces manual annotation capacities, weakly supervised video anomaly
Industrial anomaly detection must handle two distinct defect families: structural anomalies, which manifest as
Industrial anomaly detection faces two engineering bottlenecks: memory bank construction latency and inference
Reconstruction-based anomaly detectors are accurate but opaque: a deep autoencoder flags a sample without tell
Unsupervised anomaly detection scores each point of an unlabelled, contaminated sample in a single pass, and i
Energy consumption is one of the largest operational expenditure items for mobile network operators, yet site-
Anomaly detection in Internet of Things (IoT) networks presents unique challenges due to the diversity of devi
Vision Foundation Models (VFMs) provide transferable patch representations for few-shot industrial anomaly det
Recent years have witnessed growing interest in continual anomaly detection for industrial visual inspection.
Dynamic networks are being applied in many domains, from social media to logistics systems, each with their ow
Automated inspection of small industrial components, including sub-centimetre-scale parts where defects are ge
Global goodness-of-fit and discrepancy statistics can establish that a sample departs from a reference distrib
Predictive Coding (PC) is a neural learning paradigm that enables parallelizable neural network layer updates.
Persistent acoustic monitoring can detect machine faults without physical contact, but always-on inference is
The peer-review process, the bedrock of scientific advancement, is increasingly undermined by sophisticated co