2024年MINet实时检测钢带表面缺陷的多尺度交互网络+模型.zip

# MINet (TII 2024) MINet: Multiscale Interactive Network for Real-Time Salient Object Detection of Strip Steel Surface Defects, [Kunye Shen](https://scholar.google.com.hk/citations?user=q6_PkywAAAAJ&hl=zh-CN)， [Xiaofei Zhou](https://scholar.google.com.hk/citations?user=2PUAFW8AAAAJ&hl=zh-CN)，and [Zhi Liu](https://scholar.google.com.hk/citations?user=Sd5VB2cAAAAJ&hl=zh-CN). ## Required libraries numpy 1.18.1 Python 3.7 PyTorch 1.4.0 torchvision 0.5.0 ## Usage 1. Clone this repo ``` https://github.com/Kunye-Shen/MINet.git ``` 2. We also provide the predicted saliency maps ([GoogleDrive](https://drive.google.com/drive/folders/1cj_Gd8EDIPvP4SpCdNWhS4G-fRMxm7VC?usp=drive_link) or [baidu](https://pan.baidu.com/s/1eBZX_1Nf_sWYVz2opp4f0A) extraction code: rokb.). ## MI Module  ## Quantitative Comparison  ## Qualitative Comparison