Multi-dataset, multitask learning of egocentric vision tasks
For egocentric vision tasks such as action recognition, there is a relative scarcity of labeled
data. This increases the risk of overfitting during training. In this paper, we address this issue …
data. This increases the risk of overfitting during training. In this paper, we address this issue …
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
In the fight against the COVID-19 pandemic, leveraging artificial intelligence to predict
disease outcomes from chest radiographic images represents a significant scientific aim …
disease outcomes from chest radiographic images represents a significant scientific aim …
Cross-datasets facial expression recognition via distance metric learning and teacher-student model
Large-scale high-quality datasets are a particularly important condition for facial expression
recognition (FER) in the era of deep learning, but most of the datasets used for FER are …
recognition (FER) in the era of deep learning, but most of the datasets used for FER are …