The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
翻译 - PyTorch图像模型，脚本，预训练权重-（SE）ResNet / ResNeXT，DPN，EfficientNet，MixNet，MobileNet-V3 / V2，MNASNet，单路径NAS，FBNet等
Implementation of popular deep learning networks with TensorRT network definition API
翻译 - 使用TensorRT网络定义API实施流行的深度学习网络
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
翻译 - 这是YOLOv4，关注YOLOv4和带有PASCAL VOC和COCO的mobilenet YOLOv4的pytorch存储库
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
翻译 - 预先训练的EfficientNet，MixNet，MobileNetV3，MNASNet A1和B1，FBNet，单路径NAS
#人脸识别#Robust realtime face and facial landmark tracking on CPU with Unity integration
#计算机科学#High level network definitions with pre-trained weights in TensorFlow
MobileNetV3 in pytorch and ImageNet pretrained models
翻译 - pytorch和ImageNet预训练模型中的MobileNetV3
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
翻译 - 餐点V2：在没有技巧的情况下将ImageNet上的Vanilla ResNet-50提高到80％+ Top-1准确性
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
[CVPR2020] GhostNet: More Features from Cheap Operations
翻译 - [CVPR2020]超越MobileNetV3：“ GhostNet：廉价运营带来的更多功能”
YOLO ModelCompression MultidatasetTraining
#计算机科学#📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
翻译 - Mobile MobileNetV3的PyTorch实现，用于实时语义分段，具有最先进的性能
Implementing Searching for MobileNetV3 paper using Pytorch
翻译 - 使用Pytorch实现搜索MobileNetV3论文
Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow
GameAssist是一个AI游戏助手，结合OpenCv、OpenCvSharp4、ssd_mobilenet_v3等技术，对游戏对象进行识别，支持自动瞄准/自动开枪等功能，提升玩家的游戏体验
MobileNetV3-SSD for object detection and implementation in PyTorch
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
Unofficial implementation of MobileNetV3 architecture described in paper Searching for MobileNetV3.