Jul 10, 2023 · We present a novel efficient conflict-filtered network (ECF-Net) to improve the detection of small defects in this article.

The main target is to classify and localize defects in acquired images. During image acquisition, external noise and diverse background patterns can lead to ...

Our ECF-Net reduces the interference caused by conflicting information in feature fusion. Moreover, the detection branch can combine richer features so that the ...

Efficient Conflict-Filtered Network for Defect Detection. Zheng, Yuting; ;; Lyu, Wentao; ;; Wang, Chengqun; ;; Guo, Qing; ;; Zhou, Di; ;; Xu, Weiqiang. Abstract.

To this end, we propose a multi-scale cascade CNN called MobileNet-v2-dense to detect defects more efficiently. Specifically, the multi-scale cascade structure ...

Jan 14, 2024 · This study presents ID-YOLOv7, a tailored convolutional neural network. First, we design a novel Edge Detailed Shape Data Augmentation (EDSDA) method.

Oct 22, 2024 · This paper proposes a fast and accurate network for surface defect detection, termed SDDNet. SDDNet mainly addresses two challenging issues, ...

Feb 29, 2024 · TD-Net improves the overall defect detection effect, especially the detection effect of tiny defects, by solving the problems of downsampling ...

This paper proposes a texture-defect detection method using principal components analysis (PCA) and histogram-based outlier score (HBOS)

Abstract. Deep learning–based fabric defect detection methods have been widely investigated to improve production efficiency and product quality.