A Hybrid Mamba for Audio-Visual Navigation

arXiv cs.AI · 18 hours ago

Researchers introduced Samba, a model using Mamba architecture for audio-visual navigation tasks that replaces conventional recurrent networks with state space encoders. The model achieved an 11.3% improvement in navigation success rate on the Matterport3D dataset compared to existing approaches. The architectural changes enable more efficient processing of multimodal sequences and better generalization to unseen environments and novel sounds.