The paper introduces VMamba, a novel architecture that combines the strengths of CNNs and ViTs for visual representation learning. VMamba achieves linear complexity while maintaining global receptive fields and outperforms benchmarks as image resolution increases.

https://arxiv.org/abs//2401.10166

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers