yzqxy / Yolov8_obb_Prune_TrackLinks
☆194Updated last year
Alternatives and similar repositories for Yolov8_obb_Prune_Track
Users that are interested in Yolov8_obb_Prune_Track are comparing it to the libraries listed below
Sorting:
- 在YOLOv7的基础上使用KLD损失修改为旋转目标检测yolov7-obb☆184Updated last year
- Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'☆224Updated 3 months ago
- ☁️💡🎈专注于改进YOLOv7,Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules☆207Updated last year
- 一个修改YOLOv5以使用SwinTransformer模块的代码仓库。A repository that modifies YOLOv5 to use various SwinTransformer blocks.☆112Updated 8 months ago
- ☆56Updated last year
- ☆37Updated last year
- 🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!☆238Updated 9 months ago
- Trans DOTA OBB format(poly format) to YOLO format.☆215Updated 4 years ago
- ☆98Updated last year
- YOLOv7+KLD☆39Updated last year
- ☆139Updated 3 years ago
- YOLOV5 小目标检测修改版☆190Updated 3 years ago
- 🔥🔥🔥 专注于YOLO改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀☆281Updated 5 months ago
- Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism☆81Updated last year
- 本项目支持对剪枝后的yolov5模型进行知识蒸馏训练(This project supports knowledge distillation training for the pruned YOLOv5 model)☆103Updated last year
- 这是一个yolov5-v6.1-pytorch的源码,可以用于训练自己的模型。☆128Updated last year
- 以Swin Transformer作为骨干网络的YoloX目标检测项目☆82Updated 3 years ago
- ☆105Updated 3 years ago
- 这是一个DETR-pytorch的仓库,可以训练自己的数据集☆196Updated last year
- This is a repository for HIC-Yolov5☆52Updated last year
- Code for ECML PKDD 2022 paper: No More Strided Convolutions or Pooling: A Novel CNN Architecture for Low-Resolution Images and Small Obje…☆254Updated 7 months ago
- https://zhuanlan.zhihu.com/p/430850089☆153Updated 2 years ago
- Multi-backbone, Prune, Quantization, KD☆157Updated 3 years ago
- 实现对YOLOX的剪枝操作,添加了卷积层和BN层融合推理,添加中间层可视化功能,可实现预测和训练日志保存☆45Updated 2 years ago
- YOLOv8检测模块组合优化改进(成功涨点):添加GAM注意力机制;添加小目标检测头;替换为Wise_IoU损失函数+完整web端展示(实现简单目标跟踪功能)☆167Updated last year
- 轻量化剪枝+蒸馏☆43Updated 11 months ago
- YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for vis…☆515Updated last year
- 这里面存放了一些目标检测算法的数据增强方法。如mosaic、mixup。☆167Updated 2 years ago
- YOLOv5的轻量化改进(蜂巢检测项目)☆72Updated 3 years ago
- ☆78Updated 4 years ago