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cs.CV2026
D3R-Net: Dual-Domain Denoising Reconstruction Network for Robust Industrial Anomaly Detection
Dmytro Filatov, Valentyn Fedorov, Vira Filatova +1
Unsupervised anomaly detection (UAD) is a key ingredient of automated visual inspection in modern manufacturing. The reconstruction-based methods appeal because they have basic arc…
cs.CV2025
Motion-Compensated Latent Semantic Canvases for Visual Situational Awareness on Edge
Igor Lodin, Sergii Filatov, Vira Filatova +1
We propose Motion-Compensated Latent Semantic Canvases (MCLSC) for visual situational awareness on resource-constrained edge devices. The core idea is to maintain persistent semant…