Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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Updated
Jul 13, 2024 - Python
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Insightface Keras implementation
This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.
Object Classification Training Framework
This project includes multiple models, loss functions, optimizers and image augmentations for image classification task
This is a project based on retinaface face detection, including ghostnet and mobilenetv3
face recognition training project(pytorch)
QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
73.6% GhostNet 1.0x pre-trained model on ImageNet
VoVNet, MobileNet, ShuffleNet, HarDNet, GhostNet, EfficientNet backbone networks and SKU-110K dataset for detectron2
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