May 31, 2021 · We propose an acne detection network which consists of three components, specifically: Composite Feature Refinement, Dynamic Context Enhancement, and Mask- ...
We demonstrate how our method achieves the state-of-the-art result on ACNE04 and competitive performance with previous state-of-the-art methods on the PASCAL ...
Sep 9, 2024 · Finally, Mask-Aware Multi-Attention detects densely arranged and small acne by suppressing uninformative regions and highlighting probable acne ...
An acne detection network which consists of three components, specifically: Composite Feature Refinement, Dynamic Context Enhancement, and Mask-Aware ...
为了解决这些问题，我们提出了一个痤疮检测网络，它由三个组件组成，具体来说：复合特征细化、动态上下文增强和面具感知多注意。首先，复合特征细化整合语义 ...
An overall architecture of ACNet. Our method consists of Composite Feature Refinement, Dynamic Context Enhancement, and Mask-Aware Multi-Attention.
The ACNE04 dataset includes 3756 Chinese face images with Acne. The ACNE04 dataset includes the annotations of local lesion numbers and global acne severity.
ACNet: Mask-Aware Attention with Dynamic Context Enhancement for Robust Acne Detection · pdf icon · hmtl icon · Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee.
Sep 9, 2022 · Specifically, the ACNet is composed of Composite Feature Refinement, Dynamic Context Enhancement and Mask-Aware Multi-Attention. The Composite ...
Automatic Acne Object Detection and Acne Severity Grading Using ...
pmc.ncbi.nlm.nih.gov › PMC9406819
In this study, we developed an AI system called AcneDet for automatic acne object detection and acne severity grading using facial images captured by ...