BMN: Boundary-Matching Network for Temporal Action Proposal Generation

ICCV 2019 Tianwei Lin Xiao Liu Xin Li Errui Ding Shilei Wen

Temporal action proposal generation is an challenging and promising task which aims to locate temporal regions in real-world videos where action or event may occur. Current bottom-up proposal generation methods can generate proposals with precise boundary, but cannot efficiently generate adequately reliable confidence scores for retrieving proposals... (read more)

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