An image description method based on a bidirectional double-attention mechanism
An image description and attention technology, applied in computer parts, instruments, computing and other directions, can solve problems such as reduced accuracy, and achieve the effect of high accuracy and good generalization
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0028] Recurrent Neural Network RNN is a type of neural network used to process sequence data, mainly processing and predicting sequence data. figure 1 A typical recurrent neural network is shown. At each moment, enter x t And the hidden layer state h at the previous moment t-1 As the input of the recurrent neural network, the recurrent neural network produces the output o t And update h t Pass in the next moment. Since the variables and operations in the recurrent neural network are the same at different times, the recurrent neural network can be regarded as the result of the same neural network being copied infinitely. A represents all other states in the hidden layer.
[0029] The cyclic neural network has only a "causal" structure, and the state at the current moment can only obtain information from the past state and the current input. But in many application tasks, the output is likely to depend on the entire sequence. In order to solve this problem, a Bidirectional Re...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap