DenseShuffleNet for Semantic Segmentation using Caffe for Cityscapes and Mapillary Vistas Dataset
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Updated
Mar 21, 2018 - Python
DenseShuffleNet for Semantic Segmentation using Caffe for Cityscapes and Mapillary Vistas Dataset
Single Shot MultiBox Detector in TensorFlow,Please pay attention to my branch about shufflenet-tensorflow.
This is a fast caffe implementation of ShuffleNet.
shufflenet implement by mxnet gluon.
ShuffleNet Implementation in TensorFlow
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
Facebook AI Performance Evaluation Platform
Shufflenet implementation in tensorflow based on https://arxiv.org/abs/1707.01083
常用的语义分割架构结构综述以及代码复现 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.
Implementation of MobileNet, MobileNetv2, ShuffleNet, ShuffleNetv2, EfficientNet in Pytorch.
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
VoVNet, MobileNet, ShuffleNet, HarDNet, GhostNet, EfficientNet backbone networks and SKU-110K dataset for detectron2
Multi image label classification by multi models.
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Implementation of ShuffleNet V2 architecture
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