DL-Practise / ShufflenetV2_PLUS
the modify for shufflenets: shufflenet_v2_csp;shufflenet_v2_k5;shufflenet_v2_liteconv;shufflenet_v2_se_attention;shufflenet_v2_sk_attention
☆69Updated 4 years ago
Alternatives and similar repositories for ShufflenetV2_PLUS:
Users that are interested in ShufflenetV2_PLUS are comparing it to the libraries listed below
- ☆68Updated 3 years ago
- Yolov5 distillation training | Yolov5知识蒸馏训练,支持训练自己的数据☆215Updated 2 years ago
- yolov5目标检测模型的知识蒸馏(基于响应的蒸馏)☆97Updated 3 years ago
- ☆91Updated 3 years ago
- 这是一个efficientnet-yolo3-pytorch的源码,将yolov3的主干特征提取网络修改成了efficientnet☆146Updated last year
- yolov5 5.0 version distillation || yolov5 5.0版本知识蒸馏,yolov5l >> yolov5s☆159Updated 3 years ago
- ☆77Updated 3 years ago
- ghostnet_cifar10☆114Updated 4 years ago
- 布匹缺陷识别练习赛☆45Updated 4 years ago
- yolov5 knowledge distilling☆25Updated 2 years ago
- 这是一个retinanet-pytorch的源码,可以用于训练自己的模型。☆185Updated last year
- 基于NanoDet项目进行小裁剪,专门用来实现PyTorch 版本的代码,下载直接能使用,支持图片、视频文件、摄像头实时目标检测。☆150Updated 4 years ago
- I tried to apply the CAM algorithm to YOLOv4 and it worked.☆61Updated 3 years ago
- YOLOv5的轻量化改进(蜂巢检测项目)☆73Updated 2 years ago
- 基于pytorch版ssd进行改进注入CBAM空间通道注意力机制,加入FPN,类别损失函数改为focalloss☆39Updated 4 years ago
- Multi-backbone, Prune, Quantization, KD☆158Updated 2 years ago
- ☆105Updated 3 years ago
- ☆63Updated 3 years ago
- 本仓库主要包含了针对目标检测数据集的增强手段和源码:图像的旋转,镜像,裁剪,亮度/对比度的变换等☆134Updated 4 years ago
- CoordAttention_YOLOX(基于CoordAttention坐标注意力机制的改进版YOLOX目标检测平台)☆49Updated 2 years ago
- Using model pruning method to obtain compact models Pruned-YOLOv5 based on YOLOv5.☆58Updated 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)☆98Updated last year
- ☆27Updated 3 years ago
- 基于YoloV5的一些魔改及相关部署方案☆63Updated 3 years ago
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite☆67Updated 3 years ago
- ☆34Updated last year
- 比ResNet更强的RepVGG,结构重参数化,推理部署一路3x3卷积到底,详细的代码讲解,欢迎star☆46Updated 3 years ago
- ☆92Updated 3 years ago
- annotations of yolov5-5.0☆232Updated 3 years ago
- [NeurIPS 2021] Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression☆154Updated 3 years ago