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.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
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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.