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Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
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✏️ Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model

The proposed method starts building detection results through a deep learning-based detector and vectorizes individual segments into polygons using a “three-step” polygon extraction method

Github: https://github.com/gdaosu/lod2buildingmodel

Paper: https://arxiv.org/abs/2204.04139v1

Datasett: https://drive.google.com/file/d/1rA7SRPbSYFJwOBc7IfXxBgmUroTOZIOF/view?usp=sharing

Video: https://youtu.be/Nn4OABsEOXk

👉 @bigdata_1
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X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics

Github: https://github.com/yehli/xmodaler

Paper: https://arxiv.org/abs/2108.08217v1

Project: https://xmodaler.readthedocs.io/en/latest/

👉 @bigdata_1
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Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages.

Github: https://github.com/castorini/mr.tydi

Paper: https://arxiv.org/abs/2108.08787

Tasks: https://paperswithcode.com/task/representation-learning

👉 @bigdata_1
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✏️ Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model

The proposed method starts building detection results through a deep learning-based detector and vectorizes individual segments into polygons using a “three-step” polygon extraction method

Github: https://github.com/jingkang50/openood

Paper: https://arxiv.org/abs/2204.05306v1

Dataset: https://entuedu-my.sharepoint.com/:f:/g/personal/jingkang001_e_ntu_edu_sg/Eso7IDKUKQ9AoY7hm9IU2gIBMWNnWGCYPwClpH0TASRLmg?e=iEYhXO

More tutorials: https://github.com/Jingkang50/OpenOOD/wiki/Get-Started

👉 @bigdata_1
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ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation

Github: https://github.com/hanchaoleng/shapeconv

Paper: https://arxiv.org/abs/2108.10528v1

👉 @bigdata_1
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Localization Distillation for Dense Object Detection

Github: https://github.com/HikariTJU/LD

Paper: https://arxiv.org/abs/2102.12252

Datasett: https://paperswithcode.com/dataset/dota

👉 @bigdata_1
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Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning

Github: https://github.com/zengarden/momentum2-teacher

Paper: https://arxiv.org/abs/2108.10668v1

👉 @bigdata_1
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OSSO: Obtaining Skeletal Shape from Outside (CVPR 2022)

Given a body shape with SMPL or STAR topology (in blue), we infer the underlying skeleton (in yellow).

Code: https://arxiv.org/abs/2204.10129v1

Paper: https://arxiv.org/abs/2204.09838v1

Dataset: https://paperswithcode.com/dataset/agora

👉 @bigdata_1
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YOLOP: You Only Look Once for Panoptic Driving Perception

Github: https://github.com/hustvl/yolop

Paper: https://arxiv.org/abs/2108.11250v2

👉 @bigdata_1
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Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

Github: https://github.com/vita-group/tegnas

Paper: https://arxiv.org/abs/2108.11939v1

👉 @bigdata_1
Deep-significance: Easy and Better Significance Testing for Deep Neural Networks

Github: https://github.com/Kaleidophon/deep-significance

Paper: https://arxiv.org/abs/2204.06815v1

Examples: https://github.com/Kaleidophon/deep-significance#examples

👉 @bigdata_1