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CDGP: Contrastive Dual Gaussian Processes for Weakly Supervised Anomaly Segmentation
Seungjun Chu, Seokhee Han, Mateusz Nowak +1
Industrial visual inspection must both decide whether a product is defective and localize the defect, yet pixel-level masks are costly to collect at scale. Most anomaly-segmentatio…
SPARC: Subspace Position-Aware Robust Few-Shot Calibration for Distribution-Shifted Industrial Anomaly Detection
Seokhee Han, Seungjun Chu, Mateusz Nowak +1
Vision-based industrial anomaly detectors are calibrated on one distribution but may be deployed on another that differs in illumination, fixture placement, or sensor characteristi…
RADAR: Relative Angular Divergence Across Representations
Xavier Cadet, Mateusz Nowak, Peter Chin
Machine learning methods rely on data. However, gathering suitable data can be challenging due to availability constraints, cost, or the need for domain expertise. Expanding datase…
ABCD: All Biases Come Disguised
Mateusz Nowak, Xavier Cadet, Peter Chin
Multiple-choice question (MCQ) benchmarks have been a standard evaluation practice for measuring LLMs' ability to reason and answer knowledge-based questions. Through a synthetic N…