Mahalanobis PatchCore adds covariance-aware whitening and incremental streaming aggregation to PatchCore, preserving benchmark performance while cutting peak memory from 5.41 GB to 2.78 GB and raising mean industrial AUC from 0.981 to 0.986.
1251–1258
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
A causal route gating intervention decomposes attention heads and suppresses text-dominant routes using one-forward/one-gradient estimates to reduce unsupported content generation in LVLMs.
DB-FGA-Net fuses VGG16 and Xception backbones with a new Frequency-Gated Attention module to reach 99.24% accuracy on 4-class brain tumor classification without augmentation and generalizes to 95.77% on an independent dataset.
citing papers explorer
-
Mahalanobis PatchCore: Covariance-Aware and Streaming-Compatible Industrial Anomaly Detection
Mahalanobis PatchCore adds covariance-aware whitening and incremental streaming aggregation to PatchCore, preserving benchmark performance while cutting peak memory from 5.41 GB to 2.78 GB and raising mean industrial AUC from 0.981 to 0.986.
-
Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating
A causal route gating intervention decomposes attention heads and suppresses text-dominant routes using one-forward/one-gradient estimates to reduce unsupported content generation in LVLMs.