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On this section, we current and discuss the outcomes of the proposed approaches in comparison to the baseline. We present results utilizing both the previous version of OpenPose (v1.4) and the most recent version (v1.7 at the time of writing). We conducted experiments using solely the BERT-based mostly model and the GPT models. Thus, our baselines for the models are a few of the best classification fashions that modern machine studying and deep studying can obtain: CNN with Multi-Layer Perceptrons (MLP), LSTM with MLP, and Logistic Regression (Linear). We noticed that BodyMTS can achieve higher efficiency than deep studying strategies in terms of whole time and accuracy, without the usage of heavy computing resources. Within this slim scope, we use the time period oGBV and gendered abuse interchangeably. Some surveys put the incidence of on-line gender based mostly violence (oGBV) at over 50% Hicks (2021). Nearly 85% of girls have seen violence against girls on-line Unit (2021). The commonest site for such encounters is social media platforms.

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