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Collections including paper arxiv:2408.08872

about 7 hours ago

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 • 39
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 20

DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 181
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training

Paper • 2401.00849 • Published Jan 1 • 15
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

Paper • 2311.05437 • Published Nov 9, 2023 • 48
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Paper • 2311.00571 • Published Nov 1, 2023 • 41

sentence-transformers/all-mpnet-base-v2

Sentence Similarity • Updated Nov 5 • 21.3M • • 939
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 10
google-t5/t5-base

Translation • Updated Feb 14 • 2.16M • 649
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 49

Multi-Modal Model

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3 • 101
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data

Paper • 2406.18790 • Published Jun 26 • 33
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 124
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22 • 50

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Paper • 2408.10188 • Published Aug 19 • 51
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16 • 98
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 124
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22 • 50

small-multimodal

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16 • 98

Multimodal Language Model

What does matter besides data receipt when training a Multimodal language model?

LLaVA-OneVision: Easy Visual Task Transfer

Paper • 2408.03326 • Published Aug 6 • 59
VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24 • 39
PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 68
openbmb/MiniCPM-V-2_6

Image-Text-to-Text • Updated Nov 15 • 48.7k • 873

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16 • 98
MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Paper • 2410.17637 • Published Oct 23 • 34

Papers - Multimodal - Blip-3

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16 • 98

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16 • 98
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20 • 58
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 124

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