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GluonCV

swMATH ID: 35494
Software Authors: Guo, Jian; He, He; He, Tong; Lausen, Leonard; Li, Mu; Lin, Haibin; Shi, Xingjian; Wang, Chenguang; Xie, Junyuan; Zha, Sheng; Zhang, Aston; Zhang, Hang; Zhang, Zhi; Zhang, Zhongyue; Zheng, Shuai; Zhu, Yi
Description: GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy to understand implementations and community support.
Homepage: https://gluon-cv.mxnet.io
Source Code:  https://github.com/dmlc/gluon-cv
Keywords: machine learning; deep learning; Apache MXNet; computer vision; natural language processing
Related Software: GluonNLP; BERT; PyTorch; MultiWOZ; SLURP; GLUECoS; MLS; ConveRT; ToD-BERT; DialoGPT; Glottolog; XTREME; TextAttack; SQuAD; Tensor2Tensor; Adam; RandAugment; UCF101; AugMix; MMAction
Cited in: 2 Publications

Standard Articles

1 Publication describing the Software, including 1 Publication in zbMATH Year
GluonCV and GluonNLP: deep learning in computer vision and natural language processing
Guo, Jian; He, He; He, Tong; Lausen, Leonard; Li, Mu; Lin, Haibin; Shi, Xingjian; Wang, Chenguang; Xie, Junyuan; Zha, Sheng; Zhang, Aston; Zhang, Hang; Zhang, Zhi; Zhang, Zhongyue; Zheng, Shuai; Zhu, Yi
2020

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