Boe technology group co., ltd. (20240242488). METHOD AND APPARATUS FOR TRAINING TARGET DETECTION MODEL, METHOD AND APPARATUS FOR DETECTING TARGET simplified abstract
Contents
- 1 METHOD AND APPARATUS FOR TRAINING TARGET DETECTION MODEL, METHOD AND APPARATUS FOR DETECTING TARGET
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR TRAINING TARGET DETECTION MODEL, METHOD AND APPARATUS FOR DETECTING TARGET - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Target Detection Model Training
- 1.13 Original Abstract Submitted
METHOD AND APPARATUS FOR TRAINING TARGET DETECTION MODEL, METHOD AND APPARATUS FOR DETECTING TARGET
Organization Name
boe technology group co., ltd.
Inventor(s)
Zeyu Shangguan of Beijing (CN)
METHOD AND APPARATUS FOR TRAINING TARGET DETECTION MODEL, METHOD AND APPARATUS FOR DETECTING TARGET - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240242488 titled 'METHOD AND APPARATUS FOR TRAINING TARGET DETECTION MODEL, METHOD AND APPARATUS FOR DETECTING TARGET
Simplified Explanation
The method described in the patent application involves training a target detection model by determining relationships between regions in sample images and using a predetermined low loss function value.
Key Features and Innovation
- Method for training a target detection model
- Determines relationships between regions in sample images
- Uses a predetermined low loss function value
- Enhances the training process for the target detection model
Potential Applications
This technology can be applied in various fields such as computer vision, object detection, surveillance systems, and autonomous vehicles.
Problems Solved
This technology addresses the need for more efficient and accurate training methods for target detection models.
Benefits
- Improved accuracy in target detection
- Enhanced training process
- Increased efficiency in model development
Commercial Applications
- Computer vision software development
- Object detection systems for security purposes
- Autonomous vehicle technology advancement
Prior Art
Researchers can explore prior art related to target detection models, loss function values, and image annotation techniques.
Frequently Updated Research
Stay updated on advancements in target detection models, loss function optimization, and image processing techniques.
Questions about Target Detection Model Training
How does the method determine relationships between regions in sample images?
The method determines relationships based on the intersection of predicted target regions and annotated target regions in the sample images.
What are the potential applications of this technology beyond target detection models?
This technology can be applied in various fields such as computer vision, object detection, surveillance systems, and autonomous vehicles.
Original Abstract Submitted
provided is a method for training a target detection model. the method includes: determining a first region in a sample image, wherein the first region is a target region predicted by the target detection model in the sample image; determining a relationship between an intersection region and the first region, wherein the intersection region is an intersection of the first region and a second region, wherein the second region is a region annotated for a target in the sample image in a data annotation phase, and surrounds the target in the sample image; determining, in response to the relationship between the intersection region and the first region satisfying a target relationship, a predetermined low loss function value as a loss function value of the first region, wherein the predetermined low loss function value is a constant; and training the target detection model with reference to the loss function value.
