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CHAM: ACTION RECOGNITION USING CONVOLUTIONAL HIERARCHICAL ATTENTION MODEL

Citation Author(s):
Shiyang Yan, Jeremy S. Smith, Wenjin Lu, Bailing Zhang
Submitted by:
Shiyang Yan
Last updated:
28 August 2017 - 11:17pm
Document Type:
Poster
Document Year:
2017
Event:
Presenters:
Shiyang Yan
Paper Code:
1121
 

(1)We improved the soft attention model by introducing convolutional
operations inside the LSTM cell and attention map generation process to capture the spatial layout.
(2)We built a hierarchical two layer LSTM model for action recognition. (3)We tested our model on
three widely applied datasets, the UCF sports dataset, the Olympic dataset and the HMDB51 dataset
with improved results on other published work.

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