Indoor Outdoor Scene Classification
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Db | 1,847 | a year ago | 193 | Python | ||||||
| A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization". | ||||||||||
| Places365 | 1,454 | 4 years ago | 24 | mit | Python | |||||
| The Places365-CNNs for Scene Classification | ||||||||||
| Dbnet.pytorch | 772 | a year ago | 78 | apache-2.0 | Python | |||||
| A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization | ||||||||||
| Vedastr | 389 | 3 years ago | 14 | apache-2.0 | Python | |||||
| A scene text recognition toolbox based on PyTorch | ||||||||||
| Sfsegnets | 334 | 7 months ago | 2 | Python | ||||||
| Implementation of Our ECCV-2020-oral paper and its extension: Semantic Flow for Fast and Accurate Scene Parsing | ||||||||||
| Sgg | 100 | a year ago | 4 | other | Jupyter Notebook | |||||
| Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization. | ||||||||||
| Scene Baseline | 85 | 6 years ago | 2 | Python | ||||||
| PyTorch baseline for AI challenger Scene classification | ||||||||||
| Geoestimation | 79 | a year ago | 1 | gpl-3.0 | Python | |||||
| This repository contains all necessary meta information, results and source files to reproduce the results in the publication Eric Müller-Budack, Kader Pustu-Iren, Ralph Ewerth: "Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification", In: European Conference on Computer Vision (ECCV), Munich, 2018. | ||||||||||
| Dbnet Lite.pytorch | 70 | 3 years ago | 1 | Python | ||||||
| A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization | ||||||||||
| Scene Classification | 50 | 6 years ago | 2 | Python | ||||||
| Scene classification task in AI Challenger competition | ||||||||||
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