wandahangFY
School of Instrument Science and Opto-electronic Engineering, Hefei University of Technology, Hefei 230009, China
Pinned Repositories
ChatALL
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
MLCA
The codes of MLCA.
objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
RIR
The codes of RIR(Random Interpolation Resize).
SimOTM
By converting single-channel grayscale images into multi-channel images through various data enhancement techniques, SimOTM enhances the detection capabilities of object detection models without complex manual design or combination requirements.
YOLO-MIF
YOLO-MIF 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。
yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, YOLOv8, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
YOLOv8-RGBT
YOLOv8-RGBT is an improved YOLOv8 framework in multi-spectral images, introducing a variety of mode fusion methods to improve detection accuracy. YOLOv8-RGBT是在多光谱图像中的改进型YOLOv8框架，引入了多种模态融合方式，提高了检测准确性
wandahangFY's Repositories
wandahangFY/YOLO-MIF
YOLO-MIF 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。
wandahangFY/MLCA
The codes of MLCA.
wandahangFY/RIR
The codes of RIR(Random Interpolation Resize).
wandahangFY/ChatALL
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
wandahangFY/objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
wandahangFY/yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, YOLOv8, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
wandahangFY/SimOTM
By converting single-channel grayscale images into multi-channel images through various data enhancement techniques, SimOTM enhances the detection capabilities of object detection models without complex manual design or combination requirements.
wandahangFY/YOLOv8-RGBT
YOLOv8-RGBT is an improved YOLOv8 framework in multi-spectral images, introducing a variety of mode fusion methods to improve detection accuracy. YOLOv8-RGBT是在多光谱图像中的改进型YOLOv8框架，引入了多种模态融合方式，提高了检测准确性