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Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix
Research article (Applied Intelligence, 2017) · cited 16× · AI/ML
Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix
Summary
Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix is a scholarly article[1].
Key Facts
Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-label-semantic-concept-detection-in-videos-using-fusion-of-asymmetrically-trained-deep-convolutional-neural-networ
MLA“Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-label-semantic-concept-detection-in-videos-using-fusion-of-asymmetrically-trained-deep-convolutional-neural-networ.
BibTeX@misc{4ortxyz_multi-label-semantic-concept-detection-in-videos-using-fusion-of-asymmetrically-trained-deep-convolutional-neural-networ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix}}, year = {2026}, url = {https://4ort.xyz/entity/multi-label-semantic-concept-detection-in-videos-using-fusion-of-asymmetrically-trained-deep-convolutional-neural-networ}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix — https://4ort.xyz/entity/multi-label-semantic-concept-detection-in-videos-using-fusion-of-asymmetrically-trained-deep-convolutional-neural-networ (retrieved 2026-05-24)
