DilatedNet and SegNet in Torch7
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Updated
Aug 25, 2017 - Lua
DilatedNet and SegNet in Torch7
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
The code of Switchable Normalization for semantic image segmentation
PSPNet in Chainer
Switchable Normalization for semantic image segmentation and scene parsing.
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
pytorch implementation of graph convolutions for semantic segmentation on ADE20K dataset
PSPNet in Tensorflow 2 with pretrained weights for ADE20k, CityScapes and VOC2012
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)
PyTorch implementation of "Pyramid Scene Parsing Network".
Python scripts performing semantic segmentation using the TopFormer model in ONNX.
Python scripts performing on devive semantic segmentation using the TopFormer model in depthai.
indoor segmentation - indoor semantic segmentation Android using Deeplabv3 MobileNetV2 trained with ADE20K dataset
This is an official implementation for "Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation".
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
Lite-HRNet: A Lightweight High-Resolution Network
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