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ViTAR: Vision Transformer with Any Resolution
Paper • 2403.18361 • Published • 52 -
BRAVE: Broadening the visual encoding of vision-language models
Paper • 2404.07204 • Published • 18 -
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 26 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 127
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Collections including paper arxiv:2403.18361
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Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Paper • 2403.20041 • Published • 34 -
ViTAR: Vision Transformer with Any Resolution
Paper • 2403.18361 • Published • 52
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Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 104 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 40 -
ViTAR: Vision Transformer with Any Resolution
Paper • 2403.18361 • Published • 52 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 45
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CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
Paper • 2107.00652 • Published • 2 -
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering
Paper • 2403.09622 • Published • 16 -
Veagle: Advancements in Multimodal Representation Learning
Paper • 2403.08773 • Published • 7 -
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Paper • 2304.14178 • Published • 3
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FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 3 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 7 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2