Nvidia corporation (20240096064). GENERATING MASK INFORMATION simplified abstract
Contents
- 1 GENERATING MASK INFORMATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GENERATING MASK INFORMATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
GENERATING MASK INFORMATION
Organization Name
Inventor(s)
Seung Wook Kim of Toronto (CA)
Karsten Julian Kreis of Vancouver (CA)
Antonio Torralba Barriuso of Somerville MA (US)
GENERATING MASK INFORMATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096064 titled 'GENERATING MASK INFORMATION
Simplified Explanation
The patent application describes apparatuses, systems, and techniques for annotating images using neural models. In one embodiment, neural networks generate mask information from labels of objects within images identified by other neural networks.
- Neural networks are used to generate mask information from object labels in images.
- The system involves multiple neural networks working together to identify and annotate objects within images.
Potential Applications
This technology could be applied in various fields such as:
- Image recognition and classification
- Object detection in autonomous vehicles
- Medical imaging for identifying and analyzing specific areas of interest
Problems Solved
This technology helps in:
- Automating the process of image annotation
- Improving accuracy and efficiency in object detection
- Enhancing the capabilities of neural networks in image analysis
Benefits
The benefits of this technology include:
- Faster and more accurate image annotation
- Improved object detection and classification
- Enhanced performance of neural networks in image processing tasks
Potential Commercial Applications
This technology has potential commercial applications in:
- E-commerce for product recognition and recommendation
- Surveillance systems for security and monitoring
- Augmented reality for object recognition and tracking
Possible Prior Art
One possible prior art could be the use of neural networks for image annotation and object detection. Previous patents or research papers may exist in this area, but the specific approach described in this patent application may offer unique features or improvements.
Unanswered Questions
How does this technology handle complex or overlapping objects in images?
The patent application does not provide specific details on how the neural networks deal with complex or overlapping objects in images. Further information on the algorithm's capabilities in such scenarios would be helpful.
What is the computational cost of implementing this technology on a large scale?
The patent application does not address the computational resources required to deploy this technology in real-world applications. Understanding the scalability and efficiency of the system would be crucial for potential users or investors.
Original Abstract Submitted
apparatuses, systems, and techniques to annotate images using neural models. in at least one embodiment, neural networks generate mask information from labels of one or more objects within one or more images identified by one or more other neural networks.
