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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 36 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
Collections
Discover the best community collections!
Collections including paper arxiv:2404.16821
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LLaVA-OneVision: Easy Visual Task Transfer
Paper • 2408.03326 • Published • 59 -
VILA^2: VILA Augmented VILA
Paper • 2407.17453 • Published • 38 -
PaliGemma: A versatile 3B VLM for transfer
Paper • 2407.07726 • Published • 65 -
openbmb/MiniCPM-V-2_6
Image-Text-to-Text • Updated • 288k • 757
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OpenGVLab/InternVL-Chat-V1-5
Image-Text-to-Text • Updated • 7.39k • 397 -
OpenGVLab/InternVL-Chat-V1-5-AWQ
Image-Text-to-Text • Updated • 320 • 10 -
OpenGVLab/Mini-InternVL-Chat-4B-V1-5
Image-Text-to-Text • Updated • 866 • 56 -
OpenGVLab/Mini-InternVL-Chat-2B-V1-5
Image-Text-to-Text • Updated • 1.97k • 65
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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 4
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Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
Paper • 2404.19752 • Published • 22 -
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 53 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 75 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 124
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How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 53 -
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings
Paper • 2404.16820 • Published • 15 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 12
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BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 24 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 29 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 29 -
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 29