MEI XING ZHI NENG
Mei Xing Zhi Neng specializes in the R&D, design, production and sales of aquaculture IoT devices and smart farming data platforms.
MEI XING ZHI NENG
Industry:
Aquaculture Big Data Farming Internet Of Things
Founded:
2021-01-01
Address:
Shenzhen, Guangdong, China
Country:
China
Website Url:
http://www.mmstar.cn
Status:
Active
Total Funding:
200 K USD
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Investors List
Topsailing Capital
Topsailing Capital investment in Angel Round - Mei Xing Zhi Neng
Official Site Inspections
http://www.mmstar.cn Semrush global rank: 5.35 M Semrush visits lastest month: 1.56 K
- Host name: 41.137.120.34.bc.googleusercontent.com
- IP address: 34.120.137.41
- Location: United States
- Latitude: 37.751
- Longitude: -97.822
- Timezone: America/Chicago
More informations about "Mei Xing Zhi Neng"
MMStar
MMStar is designed to benchmark 6 core capabilities and 18 detailed axes, aiming to evaluate the multi-modal capacities of LVLMs with a carefully balanced and purified selection of samples.See details»
MMStar-Benchmark/MMStar - GitHub
To this end, we present MMStar, an elite vision-indispensable multi-modal benchmark comprising 1,500 challenge samples meticulously selected by humans.See details»
Mei Xing Zhi Neng - Crunchbase Company Profile & Funding
Mei Xing Zhi Neng specializes in the R&D, design, production and sales of aquaculture IoT devices and smart farming data platforms. Where is Mei Xing Zhi Neng's headquarters? Mei …See details»
Lin-Chen/MMStar · Datasets at Hugging Face
Therefore, we introduce MMStar: an elite vision-indispensible multi-modal benchmark, aiming to ensure each curated sample exhibits visual dependency, minimal data leakage, and requires advanced multi-modal capabilities.See details»
README.md · Lin-Chen/MMStar at main - Hugging Face
Therefore, we introduce MMStar: an elite vision-indispensible multi-modal benchmark, aiming to ensure each curated sample exhibits visual dependency, minimal data leakage, and requires …See details»
[2403.20330] Are We on the Right Way for Evaluating Large Vision ...
Mar 29, 2024 · To this end, we present MMStar, an elite vision-indispensable multi-modal benchmark comprising 1,500 samples meticulously selected by humans. MMStar benchmarks …See details»
MMStar - GitHub
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Abstract - arXiv.org
•We curate MMStar, an elite vision-indispensable multi-modal benchmark comprising 1,500 chal-lenge samples meticulously selected by humans. MMStar covers samples from diverse tasks …See details»
上海人工智能实验室发布了 MMStar 评价体系 | AI编程狮
Apr 2, 2024 · MMStar 包含 1500 个经过人工精心挑选的高质量多模态评估样本，旨在全面评估视觉语言模型在 6 个核心能力和 18 个具体维度上的多模态能力。 在 MMStar 上，GPT-4V 的高 …See details»
MMStar - 大型视觉语言模型评估的新标准 - 懂AI
MMStar是一个创新的多模态评估基准，包含1500个精选的视觉关键样本。它解决了现有评估中的视觉冗余和数据泄露问题，提高了多模态性能评估的准确性。MMStar涵盖6大核心能力和18个 …See details»
[Research] MMStar: Are We on the Right Way for Evaluating
To this end, we present MMStar, an elite vision-indispensable multi-modal benchmark comprising 1,500 samples meticulously selected by humans. MMStar benchmarks 6 core capabilities and …See details»
MMStar Dataset - Papers With Code
MMStar is an elite vision-indispensable multi-modal benchmark comprising 1,500 meticulously selected samples. These samples are carefully balanced and purified, ensuring they exhibit …See details»
GitHub - open-compass/MMBench: Official Repo of "MMBench: Is …
Download: MMBench is a collection of benchmarks to evaluate the multi-modal understanding capability of large vision language models (LVLMs). The table below list the information of all …See details»
中科大等意外发现：大模型不看图也能正确回答视觉问题
为了解决上述问题从而进行更公平和准确的评估，研究者们设计了一个多模态评估基准MMStar—— 包含了1,500个具有视觉依赖性的高质量评估样本，涵盖了样本均衡的粗略感知、 …See details»
MMStar_mmstar benchmark-CSDN博客
Apr 4, 2024 · 为了解决上述问题从而进行更公平和准确的评估，研究者们精选出了一个具有完全视觉依赖性的多模态评估基准，MMStar。 作者们首先设计了一个LLM协助的自动筛选管线从现 …See details»
MMBench: Is Your Multi-modal Model an All-around Player?
Jul 12, 2023 · In response to these challenges, we propose MMBench, a novel multi-modality benchmark. MMBench methodically develops a comprehensive evaluation pipeline, primarily …See details»
VLMEvalKit: An Open-Source Toolkit - arXiv.org
Jul 16, 2024 · We present VLMEvalKit: an open-source toolkit for evaluating large multi-modality models based on PyTorch. The toolkit aims to provide a user-friendly and comprehensive …See details»
多模态能力评估新篇章：MMStar引领大型视觉语言模型评估新标 …
Jun 26, 2024 · 在构建MMStar这一多模态基准测试时，面临的首要任务是确保所选样本真正需要视觉内容来得出正确答案，并且要最大限度地减少数据泄露的风险。 为此，研究者设计了一个 …See details»
LLaVA-o1 : Let Vision Language Models Reason Step-by-Step
Nov 18, 2024 · In this work, we introduce LLaVA-o11, a novel VLM designed to conduct autonomous multistage reasoning. Unlike chain-of-thought prompting, LLaVA-o1 …See details»
Abstract - arXiv.org
The stronger proprietary model Qwen-VL-Max [4] in the general multimodal benchmarks MMStar [12] and MMBench [50] and several specialized multimodal benchmarks including MathVista …See details»