Veagle: Advancements in Multimodal Representation Learning
Paper
• 2403.08773 • Published
• 10
Papers - Image - Understanding
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mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Paper • 2304.14178 • Published • 3 -
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs
Paper • 2403.12596 • Published • 11 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 17 -
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
Paper • 1902.09506 • Published • 2 -
MyVLM: Personalizing VLMs for User-Specific Queries
Paper • 2403.14599 • Published • 17 -
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
Paper • 2403.14551 • Published • 2 -
Prompt me a Dataset: An investigation of text-image prompting for historical image dataset creation using foundation models
Paper • 2309.01674 • Published • 2 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 32 -
RegionGPT: Towards Region Understanding Vision Language Model
Paper • 2403.02330 • Published • 2 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 30 -
Pegasus-v1 Technical Report
Paper • 2404.14687 • Published • 33