Deep Learning Architectures for Real-Time Baseball Pitch Classification: A Comparative Analysis

A comparative study of three deep learning architectures (Two-Stream Network, ConvLSTM, and Balanced CNN) for classifying baseball pitches using video data, with a focus on handling temporal information and class imbalance.