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Collections including paper arxiv:2407.08583

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Papers - Datasets - Multimodal - Creator Guide

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective

Paper • 2407.08583 • Published Jul 11 • 10

MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Paper • 2407.21770 • Published Jul 31 • 22
VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24 • 38
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective

Paper • 2407.08583 • Published Jul 11 • 10
Vision language models are blind

Paper • 2407.06581 • Published Jul 9 • 81

Papers - Datasets - Multimodal

DataComp: In search of the next generation of multimodal datasets

Paper • 2304.14108 • Published Apr 27, 2023 • 2
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective

Paper • 2407.08583 • Published Jul 11 • 10

Papers - Multimodal

TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Paper • 2402.14289 • Published Feb 22 • 19
ImageBind: One Embedding Space To Bind Them All

Paper • 2305.05665 • Published May 9, 2023 • 3
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 179
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Paper • 2206.02770 • Published Jun 6, 2022 • 3

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