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Most action recognition tasks now treat the activity as a single event in a video clip. Recently, the benefits of representing activities as a combination of verbs and nouns for action recognition have shown to be effective in improving action understanding, allowing us to capture such representations. However, there is still a lack of research on representational learning using cross-view or cross-modality information. To exploit the complementary information between multiple views, we propose a feature fusion framework, and our frame