Apr 17, 2019 · The proposed model termed Cycle-SUM adopts a new cycle-consistent adversarial LSTM architecture that can effectively maximize the information preserving and ...
Abstract. In this paper, we present a novel unsupervised video sum- marization model that requires no manual annotation. The proposed model termed Cycle-SUM ...
Unsupervised Video Summarization With Cycle-Consistent Adversarial ...
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Dec 12, 2019 · In this paper, we address unsupervised video summarization by developing a novel Cycle-consistent Adversarial LSTM architecture to effectively ...
In this paper, we present a novel unsupervised video summarization model that requires no manual annotation. The proposed model termed Cycle-SUM adopts a ...
In this paper, we present a novel unsupervised video summarization model that requires no manual annotation. The proposed model termed Cycle-SUM adopts a new ...
Apr 17, 2019 · This paper addresses unsupervised video summarization by developing a novel Cycle-consistent Adversarial LSTM architecture to effectively ...
Cycle-SUM. 57.6. Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization. 2019. TVSum. TVSum (Title-based Video Summarization).
Oct 8, 2020 · Bibliographic details on Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization.
Highlighting mentions of paper "Cycle-SUM: Cycle-consistent Adversarial LSTM Networks for Unsupervised Video Summarization" ×. Unsupervised Video Summarization ...
This paper addresses the problem of unsupervised video summarization, formulated as selecting a sparse subset of video frames that optimally represent the ...