Scene parsing and Image segmentation
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Updated
Nov 17, 2020 - Python
Scene parsing and Image segmentation
ApolloScape dataset loading tool
Mini-PSPNet for Urban Land-Use/Land-Cover Classification of Remote Sensing images
Pixelwise Instance Segmentation with a Dynamically Instantiated Network (CVPR 2017)
[TGRS 2021] The official repo for the paper "Fully Contextual Network for Hyperspectral Scene Parsing".
BiSeNetV2 implementation in TensorFlow 2.0
PyTorch implementation of "Pyramid Scene Parsing Network".
First implementation of PIDNet in Tensorflow/Keras.
The code and trained models of: Affinity Space Adaptation for Semantic Segmentation Across Domains.
Panoramic Semantic Segmentation in the Wild
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
AttaNet for real-time semantic segmentation.
Switchable Normalization for semantic image segmentation and scene parsing.
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.
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)
UPSNet: A Unified Panoptic Segmentation Network
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
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