# GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

arXiv: https://arxiv.org/abs/1907.04433 · HTML: https://mlsanity.com/paper/1907.04433/

## Key facts

- Cited by 32 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Jul 2019.

## Built on by (most cited first, 30 of 32)

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- [CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters](https://mlsanity.com/paper/2203.15331/) (2022)
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- [BoolNet: Minimizing The Energy Consumption of Binary Neural Networks](https://mlsanity.com/paper/2106.06991/) (2021)
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- [COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings](https://mlsanity.com/paper/2206.15073/) (2022)
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- [DelBugV: Delta-Debugging Neural Network Verifiers](https://mlsanity.com/paper/2305.18558/) (2023)
- [Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects](https://mlsanity.com/paper/2108.09065/) (2021)
- [Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective](https://mlsanity.com/paper/2211.13035/) (2022)
- [Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems](https://mlsanity.com/paper/2307.01292/) (2023)
- [Design of JiuTian Intelligent Network Simulation Platform](https://mlsanity.com/paper/2310.06858/) (2023)
- [Sub-pixel face landmarks using heatmaps and a bag of tricks](https://mlsanity.com/paper/2103.03059/) (2021)
- [Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models](https://mlsanity.com/paper/2509.20939/) (2025)

## Abstract (arXiv)

We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training logs, to facilitate rapid prototyping and promote reproducible research. We also provide modular APIs with flexible building blocks to enable efficient customization. Leveraging the MXNet ecosystem, the deep learning models in GluonCV and GluonNLP can be deployed onto a variety of platforms with different programming languages. The Apache 2.0 license has been adopted by GluonCV and GluonNLP to allow for software distribution, modification, and usage.