Article

Attention Inspiring Receptive-Fields Multi-Task Network via Self- supervised Learning for Violence Recognition

2023-04-06

Abstract excerpt

Generally, a large amount of training data is essential to train deep learning model for obtaining more accurate detection performance in computer vision domain. However, to collect and annotate datasets will lead to extensive cost. In this letter, we propose a self-supervised auxiliary task to learn general videos features without adding any human-annotated labels, aiming at improving the performance of violence...

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Literature Corpus work: dfb3b474-0f16-5a41-8054-26e553a0aea7
DOI: 10.21203/rs.3.rs-2778719/v1

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