Fine-grained Video Categorization with Redundancy Reduction Attention

ECCV 2018 Chen ZhuXiao TanFeng ZhouXiao LiuKaiyu YueErrui DingYi Ma

For fine-grained categorization tasks, videos could serve as a better source than static images as videos have a higher chance of containing discriminative patterns. Nevertheless, a video sequence could also contain a lot of redundant and irrelevant frames... (read more)

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