most citedEfficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model

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cs.CV2024★ 1 cited

Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model

Yushu Li, Yongyi Su, Adam Goodge +2

Vision-language models (VLMs) have revolutionized machine learning by leveraging large pre-trained models to tackle various downstream tasks. Although label, training, and data eff…

cs.CV2024

COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection

Jingyi Liao, Xun Xu, Manh Cuong Nguyen +2

Existing approaches towards anomaly detection~(AD) often rely on a substantial amount of anomaly-free data to train representation and density models. However, large anomaly-free d…