18094159. SYSTEMS AND METHODS FOR ITERATIVE AND ADAPTIVE OBJECT DETECTION simplified abstract (NVIDIA Corporation)
Contents
SYSTEMS AND METHODS FOR ITERATIVE AND ADAPTIVE OBJECT DETECTION
Organization Name
Inventor(s)
Shekhar Dwivedi of Santa Clara CA (US)
SYSTEMS AND METHODS FOR ITERATIVE AND ADAPTIVE OBJECT DETECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18094159 titled 'SYSTEMS AND METHODS FOR ITERATIVE AND ADAPTIVE OBJECT DETECTION
Simplified Explanation:
The patent application describes apparatuses, systems, and techniques for improved object detection and/or segmentation through iterative transformation and processing of input data.
Key Features and Innovation:
- Detection of objects in input data through iterative transformation and processing.
- Aggregation of results from each iteration into a combined object detection result.
Potential Applications: This technology can be applied in various fields such as autonomous vehicles, surveillance systems, medical imaging, and robotics for enhanced object detection and segmentation.
Problems Solved: This technology addresses the challenges of accurate and efficient object detection and segmentation in complex and dynamic environments.
Benefits:
- Improved accuracy and efficiency in object detection.
- Enhanced segmentation of objects in input data.
- Increased reliability in identifying and tracking objects.
Commercial Applications: The technology can be utilized in industries such as automotive, security, healthcare, and manufacturing for advanced object detection capabilities, leading to improved safety, security, and efficiency in operations.
Questions about Object Detection and Segmentation: 1. How does iterative transformation and processing improve object detection accuracy? 2. What are the potential limitations of this technology in real-world applications?
Frequently Updated Research: Stay informed about the latest advancements in object detection and segmentation technologies to leverage the most up-to-date methods and tools for enhanced performance.
Original Abstract Submitted
Apparatuses, systems, and techniques for improved object detection and/or segmentation are disclosed. In at least one embodiment, an object is detected in input data via iterative transformation and processing of the input data and aggregation of a result of each iteration into a combined object detection result.
