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Collections including paper arxiv:2404.12803

Papers - Image - Understanding

Veagle: Advancements in Multimodal Representation Learning

Paper • 2403.08773 • Published Jan 18 • 7
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Paper • 2304.14178 • Published Apr 27, 2023 • 2
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs

Paper • 2403.12596 • Published Mar 19 • 9
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Paper • 2403.11703 • Published Mar 18 • 16

Papers - Image - Fine-tuning

DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 181
Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 13
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

Paper • 2403.09622 • Published Mar 14 • 16
Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23 • 86

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11 • 3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 6
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

about 18 hours ago

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 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13 • 10
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15 • 21
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16 • 10
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21 • 12

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