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Approach for Video Classification with Multi-label on YouTube-8M Dataset
August 27, 2018 Β· Declared Dead Β· π ECCV Workshops
"No code URL or promise found in abstract"
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Authors
Kwangsoo Shin, Junhyeong Jeon, Seungbin Lee, Boyoung Lim, Minsoo Jeong, Jongho Nang
arXiv ID
1808.08671
Category
cs.CV: Computer Vision
Citations
9
Venue
ECCV Workshops
Last Checked
4 months ago
Abstract
Video traffic is increasing at a considerable rate due to the spread of personal media and advancements in media technology. Accordingly, there is a growing need for techniques to automatically classify moving images. This paper use NetVLAD and NetFV models and the Huber loss function for video classification problem and YouTube-8M dataset to verify the experiment. We tried various attempts according to the dataset and optimize hyperparameters, ultimately obtain a GAP score of 0.8668.
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