Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
Paper
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2309.04354
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Published
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15
Vision Transformers
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Vision Transformers Need Registers
Paper • 2309.16588 • Published • 83 -
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Paper • 2309.16414 • Published • 19 -
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
Paper • 2309.16534 • Published • 16 -
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Paper • 2201.12086 • Published • 3 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48 -
Subobject-level Image Tokenization
Paper • 2402.14327 • Published • 19 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 18 -
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
Paper • 2408.04840 • Published • 34 -
Seeing and Understanding: Bridging Vision with Chemical Knowledge Via ChemVLM
Paper • 2408.07246 • Published • 22