Collection-for-Infrared-dim-and-small-target-detection-methods

Infrared small target detection (IRSTD) algorithms, datasets, and experimental tools.This project aims to provide some references for researchers working on infrared weak and small target detection, including classical methods, deep learning models, datasets, and their corresponding links. The repository integrates representative algorithms and datasets commonly used in the IRSTD community, enabling convenient algorithm comparison, reproduction, and further research. You can download the materials from:【链接: https://pan.baidu.com/s/1W_K17m_V4MXNjIv4Ivrn_Q 提取码: m3kv】.If you think our work is helpful, please cite the papers of these excellent methods as well as our papers! Thank you! We are also very appreciate for everyone's contribution to this area and your helpful sharing! If there is problem please don't hesitate to contact us!Features:🔬 Algorithms Implementation or collected code of representative infrared small target detection methods, including: 1)Traditional model-based methods 2)Local contrast based methods 3)Low-rank and sparse decomposition methods 4)Deep learning based approaches📂 Public Datasets The repository provides download links and preprocessing tools for commonly used infrared small target datasets, such as: 1)IRSTD-1K 2)SIRST 3)NUDT-SIRST 4)NUAA-SIRST (continuously updating…)✅ Supported Methods This repository collected implementations or links of representative IRSTD methods, such as: 1）AAGD 2）ADMD 3）AADCDD 4）DNGM 5）FKRW 6）HBML 7）MPCM 8）IPI 9）PSTNN 10）TLLCM (continuously updating…)Thanks again for these awesome works and their sharing which help this area developing fast!