1.0 and 2.0: relevant code archived in the sub directory v1. You can pip install timesfm==1.3.0 to install an older version of this package to load them.

Abstract: The proposed a hybrid hairstyle classification model that employed Convolutional Neural Networks as feature extractors and SVM as classifiers. The average accuracy obtained was 98.56% for ...

Abstract: Perceived anxiety is a prevalent issue among university students, negatively affecting both mental health and academic outcomes. Prompt evaluation of anxiety triggered by academic factors is ...

Referring multi-object tracking (RMOT) aims to track multiple objects based on input textual descriptions. Previous works realize it by simply integrating an extra textual module into the multi-object ...