YOLO-MIF(YOLOv8-RGBT) is an improved version of YOLOv8 for object detection in gray-scale images, incorporating multi-information fusion to enhance detection accuracy. The detection of RGBT mode is also added. YOLO-MIF是在灰度图像中进行目标检测的改进型YOLOv8模型,引入了多信息融合策略,提高了检测准确性。 并添加了RGBT模式的检测,分割以及关节点任务。
☆252Mar 12, 2025Updated last year
Alternatives and similar repositories for YOLO-MIF
Users that are interested in YOLO-MIF are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework(Supports RGBT detection for all YOLO series f…☆684Dec 15, 2025Updated 5 months ago
- ☆105Jan 24, 2025Updated last year
- Mixed local channel attention for object detection (The codes of MLCA)☆149Apr 18, 2024Updated 2 years ago
- ☆98Mar 8, 2025Updated last year
- Simple yet powerful Twitter data retrieval SDK with multi-language support.No Limits, No Auth Required☆183Jan 6, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆251Feb 11, 2025Updated last year
- An Workspace for HMI tools☆163Jul 11, 2024Updated last year
- This project features optimized Go language, expert source code, concurrent processing, and industry-best practices.☆142Mar 14, 2023Updated 3 years ago