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] 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.
#计算机科学#Nuclei segmentation and classification (Cancer cells)
An efficient and multi-scale feature fusion behavior recognition algorithm
Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.
Development of a depth estimation model based on a UNET architecture - connection of Bi-directional Feature Pyramid Network (BIFPN) and EfficientNet.
#计算机科学#Implementation of CVPR 2020 paper "EfficientDet: Scalable and Efficient Object Detection" using PyTorch and OpenCV
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.