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Crowd Transformer Network
Most of the existing crowd counting approaches rely on local features for estimating the crowd density map.
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.
Learned Region Sparsity and Diversity Also Predicts Visual Attention
Learned region sparsity has achieved state-of-the-art performance in classification tasks by exploiting and integrating a sparse set of local information into global decisions.
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