MamBOA architecture enhances video recognition with state-space models

Researchers have introduced MamBOA, a novel state-space architecture designed for video recognition tasks. This framework is backbone-agnostic, meaning it can integrate with existing CNN, Transformer, and Mamba architectures. MamBOA enhances temporal reasoning by treating selective state-space recurrence as a motion synthesizer, achieving high accuracy on benchmarks like Diving48 with minimal additional computational cost. AI

RANK_REASON The cluster describes a new research paper detailing a novel architecture for video recognition, submitted to arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• arXiv
• CNN
• Diving48
• Mamba
• MamBOA
• Mustafa Bora Celik
• S6
• transformer

• paper
• model release

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