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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 • 38 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
Collections
Discover the best community collections!
Collections including paper arxiv:2404.07973
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Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 16 -
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Paper • 2311.15127 • Published • 12 -
Learning Transferable Visual Models From Natural Language Supervision
Paper • 2103.00020 • Published • 11 -
U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper • 1505.04597 • Published • 7
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Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 30 -
COCONut: Modernizing COCO Segmentation
Paper • 2404.08639 • Published • 27 -
GLIGEN: Open-Set Grounded Text-to-Image Generation
Paper • 2301.07093 • Published • 3 -
Grounded Language-Image Pre-training
Paper • 2112.03857 • Published • 3
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Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 30 -
GLIGEN: Open-Set Grounded Text-to-Image Generation
Paper • 2301.07093 • Published • 3 -
PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation
Paper • 2404.13026 • Published • 23 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 12