The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
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Updated
Oct 24, 2021 - Jupyter Notebook
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
HybridNets: End-to-End Perception Network
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
[MICCAI'24 Provisional Acceptance] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
This project is a kind of implementation of EfficientDet(CVPR 2020) using mmdetection.
Nuclei segmentation and classification (Cancer cells)
Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.
An efficient and multi-scale feature fusion behavior recognition algorithm
Development of a depth estimation model based on a UNET architecture - connection of Bi-directional Feature Pyramid Network (BIFPN) and EfficientNet.
Pytorch implementation of dynamic FPN, PAN, and Bi-FPN
A lightweight real-time drowning detection model that runs on a low-cost edge devices, designed for deployment in low-income regions.
Implementation of CVPR 2020 paper "EfficientDet: Scalable and Efficient Object Detection" using PyTorch and OpenCV
Multi-task perception network for quadruped robots: traversability segmentation, terrain classification and anchor-free object detection in one PyTorch forward pass, exported to ONNX/TensorRT for Jetson Orin.
Segmentation models with pretrained backbones. PyTorch.
This is a hybrid variety of detection models which is inspired from bothe centrenet and EfficientDet. This model is as fast as centrenet and much accurate due to the fusion blocks.
🏠 Monitor home safety by detecting hazards with multi-sensor alerts via LCD and LEDs for real-time security and environment tracking.
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