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Collections including paper arxiv:2403.18361

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

vision foundation modesl

vision foundation models

ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52
BRAVE: Broadening the visual encoding of vision-language models

Paper • 2404.07204 • Published Apr 10 • 18
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125

transformer-techniques

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 104
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs

Paper • 2403.20041 • Published Mar 29 • 34
ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52

ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10 • 64

ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52

Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 104
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 39
ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Paper • 2403.18814 • Published Mar 27 • 44

ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52

Papers - Encoders - Synthetic Noise

ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52

Papers - Image - Generator - Large Resolution

ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52

Papers - Image - Encoders

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

Paper • 2107.00652 • Published Jul 1, 2021 • 2
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

Paper • 2403.09622 • Published Mar 14 • 16
Veagle: Advancements in Multimodal Representation Learning

Paper • 2403.08773 • Published Jan 18 • 7
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Paper • 2304.14178 • Published Apr 27, 2023 • 2

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