Search Results for author: Chengkan Lv

Found 2 papers, 1 papers with code

Produce Once, Utilize Twice for Anomaly Detection

no code implementations20 Dec 2023 Shuyuan Wang, Qi Li, Huiyuan Luo, Chengkan Lv, Zhengtao Zhang

Equipped with the above modules, POUTA is endowed with the ability to provide a more precise anomaly location than the prior arts.

Anomaly Detection

The Second-place Solution for CVPR VISION 23 Challenge Track 1 -- Data Effificient Defect Detection

1 code implementation25 Jun 2023 Xian Tao, Zhen Qu, Hengliang Luo, Jianwen Han, Yonghao He, Danfeng Liu, Chengkan Lv, Fei Shen, Zhengtao Zhang

The Vision Challenge Track 1 for Data-Effificient Defect Detection requires competitors to instance segment 14 industrial inspection datasets in a data-defificient setting.

Defect Detection Instance Segmentation +2

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