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Found 2 papers, 1 papers with code
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
In this framework, the anomaly detection problem is solved via a cascade patch retrieval procedure that retrieves the nearest neighbors for each test image patch in a coarse-to-fine fashion.
Ranked #1 on
Supervised Anomaly Detection
on BTAD
Metric-aligned Sample Selection and Critical Feature Sampling for Oriented Object Detection
First, to align the metric inconsistency between sample selection and regression loss calculation caused by fixed IoU strategy, we introduce affine transformation to evaluate the quality of samples and propose a distance-based label assignment strategy.
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