Switchable Normalization for semantic image segmentation and scene parsing.
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Updated
Oct 22, 2018 - Python
Switchable Normalization for semantic image segmentation and scene parsing.
UPSNet: A Unified Panoptic Segmentation Network
Pixelwise Instance Segmentation with a Dynamically Instantiated Network (CVPR 2017)
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Mini-PSPNet for Urban Land-Use/Land-Cover Classification of Remote Sensing images
The code and trained models of: Affinity Space Adaptation for Semantic Segmentation Across Domains.
Scene parsing and Image segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
ApolloScape dataset loading tool
AttaNet for real-time semantic segmentation.
PyTorch implementation of "Pyramid Scene Parsing Network".
This repository contains code and tools for reading, processing, evaluating on, and visualizing Panoptic Parts datasets. Moreover, it contains code for reproducing our CVPR 2021 paper results.
Panoramic Semantic Segmentation in the Wild
BiSeNetV2 implementation in TensorFlow 2.0
First implementation of PIDNet in Tensorflow/Keras.
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
[TGRS 2021] The official repo for the paper "Fully Contextual Network for Hyperspectral Scene Parsing".
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