How to Make Computers Experts at Describing Images?

How to Make Computers Experts at Describing Images?

AliMei’s Guide: ICCV is regarded as one of the top three conferences in the field of computer vision. As one of the highest-level conferences in computer vision, its proceedings represent the latest development directions and levels in the field. Alibaba has multiple papers selected for this year’s conference, and the paper interpreted in this article … Read more

Overview of Eight Major Tasks in Computer Vision

Overview of Eight Major Tasks in Computer Vision

This article is reprinted from the PaddlePaddle WeChat official account Editor’s Note: Written by a deep learning engineer from Baidu, this article provides a detailed overview of the eight major tasks in the field of computer vision, including: image classification, object detection, image semantic segmentation, scene text recognition, image generation, human keypoint detection, video classification, … Read more

Exploring Computer Vision: Creating the Illusion

Exploring Computer Vision: Creating the Illusion

Author: Wei Xiucan, PhD student at the Institute of Machine Learning and Data Mining (LAMDA), Nanjing University. He has published academic papers in top international journals and conferences, and his “Must Know Tips in Deep Neural Networks” was invited for publication in the well-known data mining forums KDnuggets and Data Science Central. Selected from “Programmer,” … Read more

Ten Years of Computer Vision: Deep Learning’s Transformation

Ten Years of Computer Vision: Deep Learning's Transformation

Big Data Digest Production Compiled by: Digest Bacteria In recent years, the development of computer vision (CV) has surged, penetrating all aspects of our lives. To the public, this may seem like an exciting technological innovation; however, that is not entirely true. In fact, computer vision has decades of development history, laying a solid foundation … Read more

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework’s Internal Architecture

Why Is PyTorch So Efficient and Easy to Use? Exploring the Framework's Internal Architecture

Selected from blog.christianperone Author:Christian S. Perone Translated by: Machine Heart Contributors: Siyuan, Huang Xiaotian, Li Zenan As a deep learning framework supported by Facebook’s Artificial Intelligence Research (FAIR) team, PyTorch has rapidly become a popular development tool since its launch in January 2017. Its advantages in debugging, compilation, and other aspects have made it widely … Read more

Best Practices for Writing Elegant Code in PyTorch

Best Practices for Writing Elegant Code in PyTorch

Selected from GitHub Compiled by Machine Heart Contributors: Geek.ai, Siyuan PyTorch is one of the best deep learning frameworks, known for its simplicity and elegance, making it ideal for beginners. This article will introduce the best practices and coding styles for PyTorch. Although this is an unofficial PyTorch guide, the article summarizes over a year … Read more

A Collection of Common PyTorch Code Snippets

A Collection of Common PyTorch Code Snippets

Source | Jishi Platform Author | Jack Stark@Zhihu The best resources for PyTorch are the official documentation. This article is a collection of common PyTorch code snippets, with some modifications based on reference material [1](Zhang Hao: PyTorch Cookbook) for easier consultation during use. 1 Basic Configuration Import Packages and Check Versions import torch import torch.nn … Read more

Building and Training Deep Learning Models with PyTorch

Building and Training Deep Learning Models with PyTorch

PyTorch occupies an important position in the field of deep learning. In real life, it is widely used in various areas such as image recognition and natural language processing. For example, in medical image diagnosis, models built with PyTorch can quickly and accurately identify lesions in X-ray and CT images; in intelligent customer service systems, … Read more

Enhancing Model Training Efficiency with PyTorch Lightning Bolts

Enhancing Model Training Efficiency with PyTorch Lightning Bolts

PyTorch Lightning Bolts is an extension library officially launched by PyTorch Lightning, aiming to accelerate model development and training. It provides commonly used deep learning components, pre-trained models, data loaders, and utilities that can significantly simplify the development process, allowing developers to focus on research and optimizing model performance. Whether you are a beginner or … Read more