Collections
Discover the best community collections!
Collections including paper arxiv:2511.21541
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
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DoPE: Denoising Rotary Position Embedding
Paper • 2511.09146 • Published • 92 -
DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation
Paper • 2511.19365 • Published • 63 -
Latent Collaboration in Multi-Agent Systems
Paper • 2511.20639 • Published • 111 -
Video Generation Models Are Good Latent Reward Models
Paper • 2511.21541 • Published • 44
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DoPE: Denoising Rotary Position Embedding
Paper • 2511.09146 • Published • 92 -
DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation
Paper • 2511.19365 • Published • 63 -
Latent Collaboration in Multi-Agent Systems
Paper • 2511.20639 • Published • 111 -
Video Generation Models Are Good Latent Reward Models
Paper • 2511.21541 • Published • 44
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23