Our work differs from DeViSE in the fact that we explore how to build output spaces for categories that are combinations of twoindividual conceptsinstead of individual entities. In particular, we address the tas
Finally, the contextual information is weighted with a learnable scalar γ and added to the feature map H. 3.2. Network architecture The architecture of our model combines the concepts of U-Net [22] and CCNet [18]. A block diagram of the proposed Deformable Attention Net (DDANet) is shown...
The system provides a framework for developing process, project or problem-based learning systems that make use of social networking. The system provides a general purpose framework
NLP) and information retrieval (IR) applications to identify the main themes or concepts within a document or collection of documents, and can be used to improve the accuracy and relevance of search results, recommendation systems, and other applications that rely on understanding the content of ...
Formula (5) represents the operation process of the gate function. 𝛼α is determined by the joint features of the fourth and fifth stages; 𝜎σ is a sigmoid function; 𝜔1ω1 is a learnable parameter matrix: 𝜔1∈ℝ𝐶2×2𝐶2ω1∈RC2×2C2 where 𝐶2C2 represents the number...