To enhance the Time Interval MLP's ability to capture temporal relationships between audio and visual events, several improvements can be considered:
Incorporating Temporal Context: The Time Interval MLP can be augmented to consider not only the start and end times of intervals but also the context surrounding these intervals. By incorporating information about neighboring events or actions, the MLP can better understand the temporal flow of events within the input sequence.
Dynamic Time Encoding: Implementing a dynamic time encoding mechanism that adapts to the specific characteristics of the input data could improve the MLP's ability to capture subtle temporal nuances. This could involve learning adaptive time representations based on the content of the input sequence.
Multi-Modal Fusion: Enhancing the MLP to effectively fuse information from both audio and visual modalities could lead to a more comprehensive understanding of the temporal relationships between events in different modalities. This fusion mechanism could involve attention mechanisms or cross-modal interactions within the MLP.
Hierarchical Time Encoding: Introducing a hierarchical time encoding scheme that captures temporal relationships at different scales could provide a more detailed representation of the temporal dynamics in the input sequence. This hierarchical approach could help the MLP capture both short-term and long-term dependencies.