A Survey on Vision-Language Geo-Foundation Models (VLGFMs)
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Updated
Jun 19, 2024
A Survey on Vision-Language Geo-Foundation Models (VLGFMs)
Seamlessly integrate state-of-the-art transformer models into robotics stacks
日本語LLMまとめ - Overview of Japanese LLMs
[CVPR 2024] Situational Awareness Matters in 3D Vision Language Reasoning
This is the official implementation of the paper "Needle In A Multimodal Haystack"
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4V. 接近GPT-4V表现的可商用开源多模态对话模型
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
[CVPR 2024 Highlight] OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation
MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX.
Famous Vision Language Models and Their Architectures
A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.
InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) excelling in free-form text-image composition and comprehension.
Evaluating text-to-image/video/3D models with VQAScore
Docker image for LLaVA: Large Language and Vision Assistant
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"
This repository contains the implementation for the paper "Revisiting Few Shot Object Detection with Vision-Language Models"
Vision Language Model fine-tuning for TIL AI BrainHack - Advanced Track
An open-source implementation of LLaVA-NeXT.
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