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08/30/2023
AnoVL: Adapting Vision-Language Models for Unified Zero-shot Anomaly Localization
Contrastive Language-Image Pre-training (CLIP) models have shown promisi...
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06/20/2023
BMAD: Benchmarks for Medical Anomaly Detection
Anomaly detection (AD) is a fundamental research problem in machine lear...
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03/03/2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
Visual recognition in low-data regimes requires deep neural networks to ...
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09/25/2022
Collaboration of Pre-trained Models Makes Better Few-shot Learner
Few-shot classification requires deep neural networks to learn generaliz...
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01/26/2022