While the semantic refinement module significantly improves the quality of semantic tokens, it is important to note that some vital information may still be overlooked at the beginning of the semantic retrieval process. Taking inspiration from [39], we introduce a series of learnable queries, denoted...
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...
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 task of ANP detection, where each class is the combination of an adjective and a noun....
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 ...
While the semantic refinement module significantly improves the quality of semantic tokens, it is important to note that some vital information may still be overlooked at the beginning of the semantic retrieval process. Taking inspiration from [39], we introduce a series of learnable queries, denoted...
where 𝑦𝑖𝑘yki is the encoded feature of the k-th point in the i-th group’s local neighborhood set, 𝜉(·)ξ(·) represents the shared MLP, and W is the learnable weight of it. 𝑠𝑖𝑘ski is the attention score for the k-th point. After obtaining the attention scores...