YudeWang/SSENet-pytorch

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Rank 345,882 (Top 7 %)
Language
Python
License
MIT License
Created about 5 years ago
Updated almost 2 years ago

YudeWang/SSENet-pytorch

YudeWang

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The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

SEAM

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

UNet-Satellite-Image-Segmentation

A Tensorflow implentation of light UNet framework for remote sensing semantic segmentation task.

semantic-segmentation-codebase

Codebase for semantic segmentation experiments

visactivation

A simple visualization tool for tensor activation in CNN.

Learning-Pseudo-Label

Learning pseudo labels for semi-and-weakly supervised semantic segmentation, Pattern Recognition