BenchReAD supplies a systematic retinal anomaly detection benchmark that shows DRA performs best overall yet drops on unseen cases, while NFM-DRA with added normal feature memory reaches new state-of-the-art results.
Medical image analysis55, 216–227 (2019)
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HyperFSAD uses sparse hypergraph matching on DINOv3 features plus dual-branch scoring to deliver training-free and language-free few-shot anomaly detection that reaches state-of-the-art on six industrial and medical datasets.
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BenchReAD: A systematic benchmark for retinal anomaly detection
BenchReAD supplies a systematic retinal anomaly detection benchmark that shows DRA performs best overall yet drops on unseen cases, while NFM-DRA with added normal feature memory reaches new state-of-the-art results.
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Hypergraph-Enhanced Training-Free and Language-Free Few-Shot Anomaly Detection
HyperFSAD uses sparse hypergraph matching on DINOv3 features plus dual-branch scoring to deliver training-free and language-free few-shot anomaly detection that reaches state-of-the-art on six industrial and medical datasets.