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

no code implementations • 29 Feb 2024 • Jingyi Liao, Xun Xu, Manh Cuong Nguyen, Adam Goodge, Chuan Sheng Foo

few-shot anomaly detection (FSAD).

Anomaly Detection

SemiCurv: Semi-Supervised Curvilinear Structure Segmentation

1 code implementation • 18 May 2022 • Xun Xu, Manh Cuong Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo

In this work, we propose SemiCurv, a semi-supervised learning (SSL) framework for curvilinear structure segmentation that is able to utilize such unlabelled data to reduce the labelling burden.

Data Augmentation Segmentation

Revisiting Pretraining for Semi-Supervised Learning in the Low-Label Regime

no code implementations • 6 May 2022 • Xun Xu, Jingyi Liao, Lile Cai, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan Sheng Foo

Recent studies combined finetuning (FT) from pretrained weights with SSL to mitigate the challenges and claimed superior results in the low-label regime.