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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
Collections
Discover the best community collections!
Collections including paper arxiv:2507.11336
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VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding
Paper • 2507.13353 • Published • 1 -
Kwai Keye-VL Technical Report
Paper • 2507.01949 • Published • 131 -
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
Paper • 2507.11336 • Published • 5 -
Attention is all you need for Videos: Self-attention based Video Summarization using Universal Transformers
Paper • 1906.02792 • Published
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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 18 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
-
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
-
VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding
Paper • 2507.13353 • Published • 1 -
Kwai Keye-VL Technical Report
Paper • 2507.01949 • Published • 131 -
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
Paper • 2507.11336 • Published • 5 -
Attention is all you need for Videos: Self-attention based Video Summarization using Universal Transformers
Paper • 1906.02792 • Published
-
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 18 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13