Stars
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
High quality, fast, modular reference implementation of SSD in PyTorch
This is an improved AOD-Net defogging network based on the CBAM attention mechanism
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。
Modify YOLOv3 by replacing backbone network by MobileNet
yolov3 using tensorflow with mobilenet
This is YOLOv3 based on mobilement for object detection
Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"
xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
⚡ Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and …
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
A windows caffe implementation of YOLO detection network
A caffe implementation of MobileNet-YOLO detection network
Include mobilenet series (v1,v2,v3...) and yolo series (yolov3,yolov4,...)
Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)
I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
A Keras implementation of YOLOv3 (Tensorflow backend)
An experiment of transferring backbone of yolov3 into mobilenetv3