Pixelwise Instance Segmentation with a Dynamically Instantiated Network (CVPR 2017)
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Updated
Feb 8, 2020 - Python
Pixelwise Instance Segmentation with a Dynamically Instantiated Network (CVPR 2017)
Scene parsing and Image segmentation
ApolloScape dataset loading tool
PyTorch implementation of "Pyramid Scene Parsing Network".
BiSeNetV2 implementation in TensorFlow 2.0
Mini-PSPNet for Urban Land-Use/Land-Cover Classification of Remote Sensing images
First implementation of PIDNet in Tensorflow/Keras.
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
The code and trained models of: Affinity Space Adaptation for Semantic Segmentation Across Domains.
Panoramic Semantic Segmentation in the Wild
[TGRS 2021] The official repo for the paper "Fully Contextual Network for Hyperspectral Scene Parsing".
Switchable Normalization for semantic image segmentation and scene parsing.
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.
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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