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Alan-D-Chen / CDIoU-CDIoUloss

🔥CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent performances in several models such as Faster R-CNN, YOLOv4, RetinaNet and . There is a maximum AP improvement of 1.9% and an average AP of 0.8% improvement on MS COCO dataset, compared to traditional evaluation-feedback modules. Here we just use as an example to illustrate the code.
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YOLOV4 #2

Open hujunchao opened 3 years ago

hujunchao commented 3 years ago

HI! Thanks for this great work! Can you provide some examples for yolov4 ? Thank you!

Alan-D-Chen commented 3 years ago

🤷‍♂️I'm very sorry, I used three servers to run my program at that time, but my classmates and colleagues also need to use the server. So I can only give the server running Yolo to others, and the code can't be found for the time being. Just modify the code according to my idea, it's very simple.