Aug 11, 2020 · This article proposes a novel cross-modal retrieval method, named Adversarial Learning based Semantic COrrelation Representation (ALSCOR), which ...

This article proposes a novel cross-modal retrieval method, named Adversarial Learning based Semantic COrrelation Representation (ALSCOR), which is an end ...

However, very few works combine correlation learning and adversarial learning to bridge the inter-modal semantic gap and diminish cross-modal heterogeneity.

Jan 24, 2020 · This paper propose a novel cross-modal retrieval method, named ALSCOR, which is an end-to-end framework to integrate cross-modal representation ...

This paper propose a novel cross-modal retrieval method, named ALSCOR, which is an end-to-end framework to integrate cross-modal representation learning, ...

Jan 24, 2020 · The previous cross-modal retrieval approaches aims to learn a common semantic subspace in which the representations of different modalities can ...

This paper proposes a novel cross-modal retrieval method, named ALSCOR, which is an end-to-end framework to integrate cross-modal representation learning, ...

We proposed a novel adaptive adversarial learning method to learn a common subspace. We designed an objective function integrated by multiple task-specific ...

In this paper, we present a novel Adversarial Cross-Modal Retrieval (ACMR) method, which seeks an effective common subspace based on adversarial learning.

This work proposes a novel cross-modal similarity transferring (CMST) method to learn and preserve the semantic relationships between unpaired items in an ...