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Compare Siglip1 Siglip2
🚀Compare SigLIP1 and SigLIP2 on zero shot classification
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SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 108 -
google/siglip2-base-patch16-224
Zero-Shot Image Classification • Updated • 1.39k • 17 -
google/siglip2-base-patch16-256
Zero-Shot Image Classification • Updated • 384 • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2502.14786
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 26 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 13 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 42 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 22
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seanghay/khmer_mpwt_speech
Viewer • Updated • 2.06k • 244 • 6 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 44 -
openai/whisper-large-v3-turbo
Automatic Speech Recognition • Updated • 9.97M • • 2.02k -
1.43k
The Ultra-Scale Playbook
🌌The ultimate guide to training LLM on large GPU Clusters
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SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 108 -
LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models
Paper • 2502.14834 • Published • 23 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 137
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SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 108 -
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
Paper • 2502.14846 • Published • 13 -
RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers
Paper • 2502.14377 • Published • 10
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QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation
Paper • 2502.05178 • Published • 10 -
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
Paper • 2502.14846 • Published • 13 -
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 108
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UI-TARS: Pioneering Automated GUI Interaction with Native Agents
Paper • 2501.12326 • Published • 51 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 70 -
Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity
Paper • 2501.16295 • Published • 8 -
BlackMamba: Mixture of Experts for State-Space Models
Paper • 2402.01771 • Published • 24
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 257 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 53 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 23
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MLLM-as-a-Judge for Image Safety without Human Labeling
Paper • 2501.00192 • Published • 25 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 99 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 26 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 97