Click the above “Beginner Learning Vision“, choose to add “Star” or “Top“ Important content delivered first In recent years, the Attention mechanism has made significant breakthroughs in fields such as image processing and natural language processing, proving beneficial for enhancing model performance. The Attention mechanism itself aligns with the perception mechanisms of the human brain … Read more
Click on the above“Beginner Learning Vision” to select “Add to Favorites” or “Pin” Heavyweight content delivered first hand 1 Background Introduction Object detection, or object detection, is to accurately find the location of objects in a given image and label the categories of those objects. The object detection problem has two main issues: where the … Read more
The input layer reads in the normalized (uniform size) images, where each neuron in every layer takes a set of small local neighboring units from the previous layer as input, utilizing local receptive fields and weight sharing. Neurons extract some basic visual features such as edges and corners, which will later be used by higher-level … Read more
Click the above “Beginner’s Guide to Vision“, select to add “Star” or “Top“ Heavyweight content delivered first time Author: Savaram Ravindra Source: mindmajix.com Image recognition is a fascinating and challenging research field. This article elaborates on the concepts, applications, and techniques of convolutional neural networks for image recognition. What is Image Recognition and Why Use … Read more
Click the above “Beginner’s Visual Learning” and choose to add “Star” or “Top” Important content delivered in real-time Translator: Mr. Geek This article is translated from Ivan Ozhiganov’s article “Deep Dive Into OCR for Receipt Recognition” published on DZone. All copyright, image codes, and data belong to the author. The translated content has been slightly … Read more
Click the above “Beginner Learning Vision”, select to add “Star” or “Top” Important content delivered at the first time This article is reprinted from | 3D Vision Workshop 1. Arbitrary-Oriented Scene Text Detection via Rotation Proposals Main Idea This article introduces a novel network framework based on rotation for detecting text in natural scene images … Read more
This article is reprinted from AI Park. Author: Cheng He Translation: ronghuaiyang Introduction Applying Transformers to CV tasks is becoming increasingly common, and here we organize some related advancements for everyone. The Transformer architecture has achieved state-of-the-art results in many natural language processing tasks. One major breakthrough of the Transformer model may be the release … Read more
Click the above “Beginner’s Visual Learning” to choose to add “Star” or “Top” Heavyweight content delivered first time Transformers have rapidly gained popularity in the field of computer vision, particularly in object recognition and detection. After reviewing the results of state-of-the-art object detection methods, we noticed that Transformers outperform mature CNN-based detectors on almost every … Read more
Follow our public account to discover the beauty of CV technology This article is reprinted from Machine Heart. Researchers from Pujiang Laboratory, Tsinghua University, and other institutions proposed a new convolution-based foundational model called InternImage. Unlike transformer-based networks, InternImage uses deformable convolution as the core operator, enabling the model to have a dynamically effective receptive … Read more
MLNLP is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers from enterprises. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, as well as enthusiasts, … Read more