Rahman Indra Kesuma

Vision Mamba With Joint Spatiotemporal Features for Efficient Video Representation Learning in Self-Supervised Scheme

This study introduces Vision Mamba (ViM), leveraging a Selective State Space Model to capture long-range temporal dependencies with linear computational complexity, validating the ViM as a highly efficient solution that balances computational feasibility with good performance in detecting complex criminal activities at...