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Found 5 papers, 0 papers with code
Domain Generalisation with Bidirectional Encoder Representations from Vision Transformers
Domain generalisation involves pooling knowledge from source domain(s) into a single model that can generalise to unseen target domain(s).
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation
Often, when we train a model on a dataset in one specific domain and test on another unseen domain known as an out of distribution (OOD) dataset, models or ML tools show a decrease in performance.
Facilitating reflection in teletandem through automatically generated conversation metrics and playback video
This pilot study focuses on a tool called L2L that allows second language (L2) learners to visualise and analyse their Zoom interactions with native speakers.
Anomalous entities detection using a cascade of deep learning models
Patches extracted from each key point are utilized in the second stage to build a densely connected deep convolutional neural network model for detecting anomalous entities.
Attention Based Video Summaries of Live Online Zoom Classes
We can also factor in other criteria into video summary generation such as parts where the student was not paying attention while others in the class were, and parts of the video that other students have replayed extensively which a given student has not.
