SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
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Updated
Sep 9, 2024 - Python
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Easily perform segmentation using different models and perform different operations on the mask.
ImaginAItion is a small app for image retrieval that I developed as the final project for the Multimedia Data Management course at the University of Bologna.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Deep learning applied to georeferenced datasets
Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
NTU Deep Learning Medical Image course
Trained Torch version of the DeepLab on the CelebHQ.
Deeplab V3+ on the MUAD dataset
Automated pipeline for large scale detection of solar arrays in France
Remotes Sensing Semantic Segmentation
MLDL '23 Project: Federated Learning and Semantic Segmentation for Autonomous Driving and Satellite Images Segmentation
Code regarding the Semantic Segmentation in Federated Learning project for the Machine Learning and Deep Learning 2022/2023 project.
Road detection using DeepLabv3 segmentation model
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