Sharpiless / yolov5-knowledge-distillationLinks
yolov5目标检测模型的知识蒸馏(基于响应的蒸馏)
☆100Updated 3 years ago
Alternatives and similar repositories for yolov5-knowledge-distillation
Users that are interested in yolov5-knowledge-distillation are comparing it to the libraries listed below
Sorting:
- yolov5 5.0 version distillation || yolov5 5.0版本知识蒸馏,yolov5l >> yolov5s☆161Updated 3 years ago
- Yolov5 distillation training | Yolov5知识蒸馏训练,支持训练自己的数据☆221Updated 2 years ago
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite☆68Updated 3 years ago
- 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)☆104Updated last year
- ☆92Updated 3 years ago
- ☆38Updated 2 years ago
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite☆26Updated 3 years ago
- yolov5 knowledge distilling☆26Updated 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
- ☆62Updated 4 years ago
- ☆99Updated last year
- ☆68Updated 4 years ago
- 可以训练yolov5(v6.0)、yolox、小型网络,添加注意力机制☆66Updated 3 years ago
- Using model pruning method to obtain compact models Pruned-YOLOv5 based on YOLOv5.☆60Updated 4 years ago
- ☆78Updated 4 years ago
- ☆105Updated 3 years ago
- 知识蒸馏复现相关☆25Updated 2 years ago
- An unofficial implementation of Pytorch version PP-YOLOE,based on Megvii YOLOX training code.☆188Updated 3 years ago
- [T-PAMI'23] PAGCP for the compression of YOLOv5☆117Updated 2 years ago
- yolov5 pruning (SFP Pruning、Nework Slimming)☆18Updated 3 years ago
- ☆26Updated 3 years ago
- ☆93Updated 4 years ago
- Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'☆224Updated 2 months ago
- YOLOv5的轻量化改进(蜂巢检测项目)☆72Updated 3 years ago
- 🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLO…☆72Updated 2 years ago
- 目前,主流蒸馏模型采用方法为KD蒸馏、LD蒸馏或feature蒸馏,然蒸馏开源项目也较少。为此,我写了一份基于yolov5框架的蒸馏,并会有实验附带。该方法将会不断尝试论文方法,不断探索更有效的蒸馏方法。☆22Updated last year
- YOLOv7+KLD☆39Updated last year
- 基于YoloV5的一些魔改及相关部署方案☆63Updated 3 years ago
- KLD实现旋转目标检测☆48Updated 2 years ago