Adversarial Training

Overview: A Comprehensive Survey on Segment Anything Model (SAM)

by
Overview: A Comprehensive Survey on Segment Anything Model (SAM)

Source丨Machine Heart Editor丨Extreme City Platform Extreme City Introduction This article is the first comprehensive study introducing the progress of the SAM foundational model. It focuses on the application of SAM in various tasks and data types, discussing its historical development, recent advancements, and profound impacts on widespread applications. Artificial Intelligence (AI) is evolving towards AGI, … Read more

Copyright Protection of AI Generated Works from an Industrial Perspective

by

COPYRIGHT PROTECTION OF ARTIFICIAL INTELLIGENCE GENERATED WORKS FROM AN INDUSTRIAL PERSPECTIVEChu MengI. INTRODUCTIONWith the emergence of Midjourney and ChatGPT, the role of artificial intelligence (AI) has shifted from assisting in creation to content generation. Its high efficiency in creativity and realistic effects that are indistinguishable from human creation have quickly made it a favorite in … Read more

Comprehensive Survey on Segment Anything Model (SAM)

by
Comprehensive Survey on Segment Anything Model (SAM)

Source | Machine Heart Editor | Jishi Platform Jishi Introduction This paper is the first comprehensive research introducing the progress of the SAM base model, focusing on its applications in various tasks and data types, discussing its historical development, recent advancements, and the profound impact on widespread applications. Artificial Intelligence (AI) is evolving towards AGI, … Read more

Goodbye Traditional Monocular Vision! Depth Anything V2 Achieves 10x More Accurate Depth Estimation!

by
Goodbye Traditional Monocular Vision! Depth Anything V2 Achieves 10x More Accurate Depth Estimation!

🫱Click here to join the group chat of 18 sub-fields (🔥Highly recommended)🫲 Paper Title: Depth Anything V2 Authors: Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao Project Address: https://depth-anything-v2.github.io/ Compiled by: xlh Reviewed by: Los Abstract: In monocular depth estimation research, the widely used labeled real images have many … Read more

AI Large Model Applications in Architectural Rendering Education

by
AI Large Model Applications in Architectural Rendering Education

Click the “blue text” above to follow us! Abstract Abstract: Architectural renderings can realistically simulate buildings and their effects after design completion, making them a necessary part of design expression in architectural education and a key component of architectural space visualization. However, traditional rendering methods are not only complex in software settings but also require … Read more

AI Python Data Analysis, Machine Learning & Deep Learning Training

by

1Training OverviewThis course aims to enable participants to master the application of Python in the field of scientific research through comprehensive and systematic learning, especially how to leverage artificial intelligence technologies to promote research progress. The course content covers everything from basic Python programming to advanced machine learning and deep learning algorithms, gradually guiding students … Read more

Recommended Machine Learning Datasets

by
Recommended Machine Learning Datasets

ID: Hazelnut Public Account: Python and Algorithm Community We often encounter the problem of where to download data. You must have struggled to find the data you want, as I often spend considerable effort looking for data. Recently, I specifically searched for it, and the following links can all be opened normally. 1. Agriculture Related … Read more

Illustrating 72 Fundamental Machine Learning Concepts

by
Illustrating 72 Fundamental Machine Learning Concepts

1. Overview of Machine Learning 1) What is Machine Learning Artificial Intelligence is a new technical science that studies and develops theories, methods, technologies, and application systems for simulating, extending, and enhancing human intelligence. It is a broad and vague concept, with the ultimate goal of artificial intelligence being to enable computers to mimic human … Read more

12 Essential AI Model Evaluation Metrics You Must Know

by
12 Essential AI Model Evaluation Metrics You Must Know

Source: Dolphin Intelligent Science Laboratory The idea of building a machine learning or deep learning model follows the principle of constructive feedback. You build a model, get feedback from the metrics, improve it, and keep going until you achieve the desired classification accuracy. Evaluation metrics explain the performance of the model. An important aspect of … Read more

Master Machine Learning for High-Impact SCI Publications

by
Master Machine Learning for High-Impact SCI Publications

The current competition for publishing in bioinformatics is intense, and achieving high scores is challenging! If you rely on conventional methods such as functional enrichment analysis and prognostic model evaluation, you will either pass with low scores, get rejected, or be asked to supplement your experiments… Combining with machine learning makes a difference; machine learning … Read more