There are 0 repository under regnet topic.
OpenMMLab Image Classification Toolbox and Benchmark
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
Multi-label classification based on timm.
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
A pytorch implement of RegNet (Designing Netowrk design spaces). Original paper link: https://arxiv.org/pdf/2003.13678.pdf
TF 2.x implementation of RegNet (Designing Network Design Spaces, CVPR 2020).
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, VGG16, EfficientNetV2, RegNet and MobileNetV3.
RegNet (Designing Network Design Spaces) implementation in TensorFlow-2 with pretrained weights.
This project modifies, trains and implements RegNetX-200MF for image classification of a modified variant of ImageNet.