A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
#计算机科学#Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
Multi-label classification based on timm.
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
A pytorch implement of RegNet (Designing Netowrk design spaces). Original paper link: https://arxiv.org/pdf/2003.13678.pdf
This project uses PyTorch to classify bone fractures. As well as fine-tuning some famous CNN architectures (like VGG 19, MobileNetV3, RegNet,...), we designed our own architecture. Additionally, we us...
TF 2.x implementation of RegNet (Designing Network Design Spaces, CVPR 2020).
RegNet (Designing Network Design Spaces) implementation in TensorFlow-2 with pretrained weights.
#计算机科学#This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.
This repository holds the downstream task of Face Mask Classification performed on Self Currated Custom Dataset with various State of the Art deep learning models like ViT, BeIT, DeIT, LeViT, ConvNeXt...
#安卓#Optimizing DNN Operators on Mobile GPUs
#计算机科学#Train the RegNet classifier model using Tensorflow on Colab.
#计算机科学#Creación de una IA capaz de recibir una imagen de entrada y clasificarla según su entorno o contexto (por ejemplo, `Kitchen`, `Office`, etc.). 🔗 Accede a la demo aquí: 👉 https://enviroments-clasifi...