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