open-mmlab/mmyolo

[Attention] Which is your most desired variant of the YOLO series?

RangeKing opened this issue · 9 comments

MMYOLO Call for Proposals

在各个领域中 YOLO 系列改进算法众多,哪些改进的算法或者模块你觉得非常有用?欢迎在 Issue 中留言。我们会根据反馈列入开发计划当中。

Issue 回复模板

  • 算法名:
  • 发布的会议和年份(如有):
  • 论文(如有):
  • 数据集(如有):
  • 简介(如有):
  • 代码(如有):
  • 相关解读(如有):

示例


There are lots of improved algorithms in the YOLO series in various fields. Which improved algorithms or modules do you find useful? Feel free to leave your comments in the Issue. We will include them in the development plan based on the feedback.

Issue Reply Template

  • Algorithm Name:
  • Conference/Year(Optional):
  • Paper(Optional):
  • Datasets(Optional):
  • Introduction(Optional):
  • Repo(Optional):
  • Interpretations(Optional):

Example


根据大家反馈,我们会在下面维护一个列表,方便统一查看。
According to your feedback, we will maintain a list below.

Algorithm Name Conference/Year Paper Datasets Introduction Repo Interpretations
TPH-YOLOv5 ICCVW2021 link VisDrone2021 TPH/CBAM Official Zhihu1
YOLOV 2022 link IMAGENET VID and DET Official
Loss: EFL 2022 link LVIS v1 EFL Official Zhihu1
CFPNet 2022 link MS COCO Centralized Feature Pyramid for Object Detection Official mmyolo
YOLOP 2022 link BDD100K You Only Look at Once for Panoptic driving Perception Official Zhihu1
YOLO-Pose 2022 link COCO Keypoint Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss Official Zhihu1
Edge-YOLO 2023 link COCO and Visdrone EdgeYOLO: An Edge-Real-Time Object Detector Official
YOLO-NAS 2023 MS COCO A Next-Generation, Object Detection Foundational Model generated by Deci’s Neural Architecture Search Technology Official Zhihu1
YOLO-MS 2023 link MS COCO Rethinking Multi-Scale Representation Learning for Real-time Object Detectionblock Official Weixin

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

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

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

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:

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:

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.

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

zcunyi commented

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.

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