ZhongyuanW / SSD_mobilenetv2-with-Focal-loss
this repo is forked from https://github.com/amdegroot/ssd.pytorch. Implemented by pytorch
☆46Updated 5 years ago
Alternatives and similar repositories for SSD_mobilenetv2-with-Focal-loss:
Users that are interested in SSD_mobilenetv2-with-Focal-loss are comparing it to the libraries listed below
- YOLOv3-training-prune☆59Updated 3 years ago
- Convert YOLOv3 and YOLOv3-tiny (PyTorch version) into TensorRT models.☆61Updated 5 years ago
- MobileNetV3 based SSD-lite implementation in Pytorch☆99Updated 5 years ago
- Stronger SSD & YOLO v3☆39Updated 5 years ago
- This repository carries out some paper recurring work☆106Updated 4 years ago
- ☆62Updated 4 years ago
- Learning Rich Features at High-Speed for Single-Shot Object Detection, ICCV, 2019☆164Updated 5 years ago
- ☆33Updated 5 years ago
- CenterNet used for pedestrian detection☆27Updated 5 years ago
- A resnet18 version of CenterNet(objects as points)☆124Updated 3 years ago
- centernet, mobilenetv2, centerface☆52Updated 5 years ago
- This is the unofficial implementation of the "CenterNet:Objects as Points".Just a simple try with self-modified shufflenetv2 and yolov3.…☆111Updated 3 years ago
- Pytorch re-implementation of Fssd☆68Updated 5 years ago
- provide pytorch model and ncnn model☆76Updated 4 years ago
- centernet pytorch model to torch script model☆30Updated 4 years ago
- YOLO系列资料☆50Updated 2 years ago
- convert yolo format to coco format☆40Updated 5 years ago
- An experiment of transferring backbone of yolov3 into mobilenetv3☆104Updated 5 years ago
- U版yolov5 2.0的tensorrt加速☆37Updated 4 years ago
- centernet☆73Updated 4 years ago
- Object detection model thundernet tensorflow.keras implementation☆83Updated 5 years ago
- Pytorch复现YOLOv3,使用最新的DIOU loss训练☆69Updated 4 years ago
- FSAF (Feature Selective Anchor-Free Module for Single-Shot Object Detection) implementation in Keras and Tensorflow☆119Updated last year
- This repository provides a sample to run yolov3 on int8 mode in tensorRT☆26Updated 5 years ago
- You can import this module directly☆55Updated 5 years ago
- 对 YOLOv3 做模型剪枝(network slimming),对于 oxford hand 数据集(因项目需要),模型剪枝后的参数量减少 80%,Infer 的速度达到原来 2 倍,mAP 基本不变☆12Updated 5 years ago
- centernet_mobilenetv2 inference by ncnn☆64Updated 5 years ago
- 数钢筋demo,IOU 0.7 下,AP 90.6。训练只要不到十分钟,可以非常愉快的 玩耍☆33Updated 5 years ago
- 重新设计的RFBNet300,模型参数量只有0.99MB,AP达到0.78,200FPS☆99Updated 5 years ago