Sorour Mohajerani (SorourMo)

SorourMo

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Company:Simon Fraser University

Location:Vancouver, Canada

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Sorour Mohajerani's starred repositories

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

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ImageToDEM

Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning

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mlcpp

Set of examples of ML approaches implemented in C++

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PyTorch-Simple-MaskRCNN

A PyTorch implementation of simple Mask R-CNN

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HausdorffLoss

Implementation of Hausdorff loss function for DNN learning in segmentation tasks.

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torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

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techniques

Techniques for deep learning with satellite & aerial imagery

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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BONAI

Official code for "Learning to Extract Building Footprints from Off-Nadir Aerial Images"

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xtensor

C++ tensors with broadcasting and lazy computing

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ttt_cifar_release

TTT Code Release

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tent

ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization

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UDAStrongBaseline

Open-source stronger baseline for unsupervised or domain adaptive object re-ID.

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ProDA

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

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SpCL

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

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OpenUnReID

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

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cloudpathlib

Python pathlib-style classes for cloud storage services such as Amazon S3, Azure Blob Storage, and Google Cloud Storage.

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dd-ml-segmentation-benchmark

DroneDeploy Machine Learning Segmentation Benchmark

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Adaptive_Affinity_Fields

Adaptive Affinity Fields for Semantic Segmentation

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TorchSemiSeg

[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

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land-cover

Code for training and testing deep learning based land cover models.

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landcover

Land Cover Mapping

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ml_segmentation

Machine learning semantic segmentation - Random Forest, SVM, GBC

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