Live briefing
Everything about OpenMAX
OpenMAX, often shortened as "OMX", is a non-proprietary and royalty-free cross-platform set of C-language programming interfaces. It provides abstractions for routines that are especially useful for processing of audio, video, and still images. It is intended for low power and embedded system devices that need to efficiently process large amounts of multimedia data in predictable ways, such as video codecs, graphics libraries, and other functions for video, image, audio, voice and speech. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: OpenMAXA 5-minute orientation
- Skim a recent paper: Open-Set Classification of Maritime Radar Small Targets Using OpenMax Layer and Supervised Variational AutoencoderInfluential work since 2022
- Read the landmark paper: Toward Open-Set Specific Emitter Identification Using Auxiliary Classifier Generative Adversarial Network and OpenMaxCited 39 times
- Go sideways: Distributed Codec EngineA closely related topic
- Go sideways: X-Video Bitstream AccelerationA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Toward Open-Set Specific Emitter Identification Using Auxiliary Classifier Generative Adversarial Network and OpenMax
Extended Openmax Approach for the Classification of Radar Images With a Rejection Option
Open-Set Event Recognition Model Using 1-D RL-CNN With OpenMax Algorithm for Distributed Optical Fiber Vibration Sensing System
RD-OpenMax: Rethinking OpenMax for Robust Realistic Open-Set Recognition
Proportional Similarity-Based Openmax Classifier for Open Set Recognition in SAR Images
Class-balanced OpenMax for open-set recognition with long-tail sonar images
OpenFE: feature-extended OpenMax for open set facial expression recognition
Open-Set Recognition Model for Distributed Fiber-Optic Vibration Sensor Based on Hierarchical Attention Network With Openmax
🆕 Influential since 2022
Open-Set Classification of Maritime Radar Small Targets Using OpenMax Layer and Supervised Variational Autoencoder
MaGOS-IDS: A Mahalanobis-Enhanced OpenMax Method for Graph Neural Network-Based Intrusion Detection
A Blockchain Network-Layer Intrusion Detection Framework Based on Dual-Stream Closed-Set Learning With OpenMax
Triple-Channel Time--Frequency Fusion Custom Neural Network With OpenMax for Open-Set Recognition of Communication Signal Modulations
Open-Set Recognition for Potato Leaf Disease Identification Using OpenMax
📚 Books worth reading
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🔗 Related topics
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