[Attention] Which is your most desired variant of the YOLO series? about mmyolo HOT 9 OPEN

Algorithm Name："YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss]
Conference/Year：2022
Paper：link
Datasets: COCO Keypoint
Introduction：
Repo：https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose
Interpretations：

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Algorithm Name：Equalized Focal Loss for Dense Long-Tailed Object Detection
Conference/Year(Optional)：CVPR 2022
Paper(Optional)：https://arxiv.org/pdf/2201.02593.pdf
Datasets(Optional)：LVIS v1 dataset
Introduction(Optional)：N/A
Repo(Optional)：https://github.com/ModelTC/United-Perception
Interpretations(Optional)：https://zhuanlan.zhihu.com/p/489606679

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Algorithm Name： YOLOV
Conference/Year：2022
Paper：link
Datasets：ILSVRC2015 DET and ILSVRC2015 VID dataset on IMAGENET
Introduction：N/A
Repo：https://github.com/YuHengsss/YOLOV
Interpretations：N/A

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Hi @RangeKing ,

Thanks for the reply. I would like to enable yolo-pose in mmYOLO with your help. Right now, I am not sure when can I spend some time on it. I will get back to you with some updates within the next couple of weeks.

Regards, Debapriya
Hi, @debapriyamaji , I am using yolo-pose, looking forward to your work.

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Algorithm Name： YOLOP: You Only Look at Once for Panoptic driving Perception
Conference/Year：2022
Paper：link
Datasets: BDD100K
Introduction：
Repo：https://github.com/hustvl/YOLOP
Interpretations：

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Algorithm Name： Centralized Feature Pyramid for Object Detection
Conference/Year：2022
Paper：link
Datasets：MS COCO
Introduction：Centralized Feature Pyramid for Object Detection
Repo：https://github.com/QY1994-0919/CFPNet
Interpretations：QY1994-0919/CFPNet#10

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Hi @RangeKing ,

Thanks for the reply. I would like to enable yolo-pose in mmYOLO with your help. Right now, I am not sure when can I spend some time on it. I will get back to you with some updates within the next couple of weeks.

Regards, Debapriya

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Algorithm Name："YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss] Conference/Year：2022 Paper：link Datasets: COCO Keypoint Introduction： Repo：https://github.com/TexasInstruments/edgeai-yolov5/tree/yolo-pose Interpretations：

Hi @debapriyamaji, thanks for your attention to MMYOLO. I think YOLO-Pose is an excellent algorithm. Could you help MMYOLO support YOLO-Pose. We can open another issue to discuss it.

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Algorithm Name：YOLO-NAS
Conference/Year：2023
Datasets：MS COCO
Introduction：providing superior real-time object detection capabilities and production-ready performance
Repo：https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md
Interpretations：https://zhuanlan.zhihu.com/p/628090349

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