A tensorflow implement for PeleeNet:A Real-Time Object Detection System on Mobile Devices
-
Updated
May 10, 2018 - Python
A tensorflow implement for PeleeNet:A Real-Time Object Detection System on Mobile Devices
A state of the art of new lightweight YOLO model implemented by TensorFlow 2. This project is the official code for the paper "CSL-YOLO: A Cross-Stage Lightweight Object Detector with Low FLOPs"in IEEE ISCAS 2022.
An Unoffical Implementation of PeleeNet by TensorFlow, Keras
ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection
Simple Code Implementation of "PeleeNet" architecture in "Pelee Paper" using PyTorch.
⭐⭐⭐ Pytorch implementation of Attentiom, Backbone, ViT, MLP, Re-parameter, Convolution, very flexible module combination.
PeleeNet SSD for ncnn framework
A convertor that transform the peleenet from pytorch version to keras version
PaddlePaddle image models, scripts, pretrained weights. Code was heavily based on timm.
Add a description, image, and links to the peleenet topic page so that developers can more easily learn about it.
To associate your repository with the peleenet topic, visit your repo's landing page and select "manage topics."