Summary of Sr-cis: Self-reflective Incremental System with Decoupled Memory and Reasoning, by Biqing Qi et al.
SR-CIS: Self-Reflective Incremental System with Decoupled Memory and Reasoningby Biqing Qi, Junqi Gao, Xinquan Chen,…
Summary of Anomalysd: Few-shot Multi-class Anomaly Detection with Stable Diffusion Model, by Zhenyu Yan et al.
AnomalySD: Few-Shot Multi-Class Anomaly Detection with Stable Diffusion Modelby Zhenyu Yan, Qingqing Fang, Wenxi Lv,…
Summary of Artificial Intelligence Approaches For Energy Efficiency: a Review, by Alberto Pasqualetto et al.
Artificial Intelligence Approaches for Energy Efficiency: A Reviewby Alberto Pasqualetto, Lorenzo Serafini, Michele SprocattiFirst submitted…
Summary of Foundations For Unfairness in Anomaly Detection — Case Studies in Facial Imaging Data, by Michael Livanos and Ian Davidson
Foundations for Unfairness in Anomaly Detection – Case Studies in Facial Imaging Databy Michael Livanos,…
Summary of When Text and Images Don’t Mix: Bias-correcting Language-image Similarity Scores For Anomaly Detection, by Adam Goodge et al.
When Text and Images Don’t Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detectionby Adam Goodge,…
Summary of Integrating Ontology Design with the Crisp-dm in the Context Of Cyber-physical Systems Maintenance, by Milapji Singh Gill et al.
Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenanceby Milapji Singh…
Summary of Feature Attenuation Of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection, by Yeonghyeon Park et al.
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detectionby YeongHyeon Park, Sungho…
Summary of Unified Anomaly Detection Methods on Edge Device Using Knowledge Distillation and Quantization, by Sushovan Jena et al.
Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantizationby Sushovan Jena, Arya…
Summary of Xsemad: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-sequence Models, by Kiran Busch et al.
xSemAD: Explainable Semantic Anomaly Detection in Event Logs Using Sequence-to-Sequence Modelsby Kiran Busch, Timotheus Kampik,…
Summary of View-invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesis, by Subin Varghese et al.
View-Invariant Pixelwise Anomaly Detection in Multi-object Scenes with Adaptive View Synthesisby Subin Varghese, Vedhus HoskereFirst…