… video content effectively and efficiently for a wide range of applications such as web-video search, video … Existing work mainly performs feature fusion at two stages: (1) early fusion that …
… ], [31], [32], and most of them fused both of the modalities in a single point. In this paper, we … of multi-modality models. And we propose a novel deep learning based multi-modalityfusion …
… Giving a query expressed in natural language to search for documents becomes a … the fusion process will likely lead to a performance drop. This is why we chose to make a late fusion of …
Y Wu, Y Ma, S Wan - Signal Processing: Image Communication, 2021 - Elsevier
… Afterwards, features computed by regional attention scheme are fused in scaled combinations… Since the main task of multi-modality is to map feature spaces of different modalities to the …
Y Zeng, T Liang, Y Jin, Y Li - … on Circuits and Systems for Video …, 2024 - ieeexplore.ieee.org
… In the multi-modality part, we study the performance of multi-modal methods… Concept-driven multi-modalityfusion for videosearch,” IEEE Transactions on Circuits and Systems for Video …
… multiple features or modalities for search in image and video retrieval. This paper suggests a … , “Concept-drivenmulti-modalityfusion for videosearch,” IEEE Trans. Circuits Syst. Video …
Y Li, J Ma, Y Zhang - Information Fusion, 2021 - Elsevier
… data or narrow the search space for lots of RS image processing tasks including RS image matching [27], [28], [29], RS image registration [30], [31], [32] and RS image fusion [33], [34], […
A Mishra, A Anand, P Guha - IEEE Transactions on Artificial …, 2022 - ieeexplore.ieee.org
… helps in reducing the answer search space. Third, a subsystem … However, the intrinsic multi-modality and necessity of rea… , stimulus-driven and concept-driven, which are inspired from …
… With the segmentation method, we propose a multi-modal hand activity video dataset with 790 sequences and 401,765 frames of "hands using tools" videos captured by thermal and …