Temporal Action Proposal Generation
16 papers with code • 3 benchmarks • 4 datasets
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Accelerating temporal action proposal generation via high performance computing
It is found that, compared to the traditional Parameter Server architecture, our parallel architecture has higher efficiency on temporal action detection task with multiple GPUs, which is suitable for dealing with the tasks of temporal action proposal generation, especially for large datasets of millions of videos.
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals
In this paper, several variants of two-stream architectures for temporal action proposal generation in long, untrimmed videos are presented.
Sequence-to-Segment Networks for Segment Detection
Detecting segments of interest from an input sequence is a challenging problem which often requires not only good knowledge of individual target segments, but also contextual understanding of the entire input sequence and the relationships between the target segments.
Multi-granularity Generator for Temporal Action Proposal
In this paper, we propose a multi-granularity generator (MGG) to perform the temporal action proposal from different granularity perspectives, relying on the video visual features equipped with the position embedding information.
10,000+ Times Accelerated Robust Subset Selection (ARSS)
Subset selection from massive data with noised information is increasingly popular for various applications.