Efficient Audio-Visual Event Recognition via Knowledge Distillation and Dynamic INT8 Quantization of a Hybrid Cross-Attention Network
An efficient compression framework for hybrid cross-attention-based audiovisual event recognition is presented by combining architectural model compression, knowledge distillation, and dynamic INT8 quantization to provide an effective trade-off between recognition accuracy and computational efficiency.