RepViT: Revisiting Mobile CNN From ViT Perspective – arXiv Vanity
MobileOne: An Improved One Millisecond Mobile Backbone
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Unlocking Efficiency in Vision Transformers: How Sparse Mobile Vision MoEs Outperform Dense Counterparts on Resource-Constrained Applications - MarkTechPost
MobileSAM LIGHTWEIGHT Segment Anything model FOR MOBILE APPLICATIONS #computervision - YouTube
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features | DeepAI
Review — MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | by Sik-Ho Tsang | Medium
Vision transformer beats CNN on mobile devices for accuracy and speed with ElasticViT
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VITian by SDC-VIT
MobileViT Implementation in TensorFlow | Mobile Vision Transformers - YouTube
Review — MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | by Sik-Ho Tsang | Medium
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Overall overview of proposed MobileViT architecture consist of: (a)... | Download Scientific Diagram
AK on X: "Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts paper page: https://t.co/Yn31GwcU2D Sparse Mixture-of-Experts models (MoEs) have recently gained popularity due to their ability to decouple model size from
![PDF] MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/da74a10824193be9d3889ce0d6ed4c6f8ee48b9e/2-Figure1-1.png "PDF] MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | Semantic Scholar")
PDF] MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | Semantic Scholar
What is MobileViT? - Idiot Developer
ViT - Vit Labs Mobile | Jerusalem
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Review — MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | by Sik-Ho Tsang | Medium
Vision Transformers for Mobile Devices - 知乎
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer | Wonbeom Jang
