mlsanityData to 14 Oct 2026

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

arXiv 1907.04433 ↗First posted 9 Jul 2019cs.LG cs.CL cs.CVcited by 32

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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.

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

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Citing papers per year: 2021: 16; 2022: 12; 2023: 3; 2024: 0; 2025: 1.

32 papers.

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  1. 2022The Lie Derivative for Measuring Learned Equivariancecited by 54
  2. 2021A Fast Knowledge Distillation Framework for Visual Recognitioncited by 50
  3. 2021PyTorchVideo: A Deep Learning Library for Video Understandingcited by 32
  4. 2021Benchmarking Multimodal AutoML for Tabular Data with Text Fieldscited by 26
  5. 2022One-Stage Cascade Refinement Networks for Infrared Small Target Detectioncited by 25
  6. 2022CNN Filter DB: An Empirical Investigation of Trained Convolutional Filterscited by 20
  7. 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 17
  8. 2021Assessing bikeability with street view imagery and computer visioncited by 15
  9. 2022Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendationcited by 9
  10. 2022DataLab: A Platform for Data Analysis and Interventioncited by 8
  11. 2021Ivy: Templated Deep Learning for Inter-Framework Portabilitycited by 6
  12. 2021Playing Codenames with Language Graphs and Word Embeddingscited by 6
20 more
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  2. 2021LOTR: Face Landmark Localization Using Localization Transformercited by 6
  3. 2022COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainingscited by 6
  4. 2021Compressed Communication for Distributed Training: Adaptive Methods and Systemcited by 5
  5. 2021Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfercited by 5
  6. 2021Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learningcited by 4
  7. 2021Weakly-supervised word-level pronunciation error detection in non-native English speechcited by 4
  8. 2022A Survey on Uncertainty Toolkits for Deep Learningcited by 4
  9. 2022Similarity of Neural Architectures using Adversarial Attack Transferabilitycited by 4
  10. 2022Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNscited by 4
  11. 2022Entity Anchored ICD Codingcited by 3
  12. 2023DelBugV: Delta-Debugging Neural Network Verifierscited by 3
  13. 2021Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospectscited by 2
  14. 2022Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspectivecited by 2
  15. 2023Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systemscited by 2
  16. 2023Design of JiuTian Intelligent Network Simulation Platformcited by 2
  17. 2021Sub-pixel face landmarks using heatmaps and a bag of trickscited by 1
  18. 2025Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Modelscited by 1
  19. 2021AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottleneckscited by 0
  20. 2022Rotate the ReLU to implicitly sparsify deep networkscited by 0