Introduction to MVTec Deep Learning Tool The MVTec Deep Learning Tool V0.4.3 has added model training and evaluation features based on its image classification and object detection annotation capabilities. This feature helps customers train deep learning models and provides relevant evaluation information, including heatmaps of predicted categories and confusion matrices for inference images. In the … Read more
Click on the “Computer Vision Life” above and select “Star” Quickly obtain the latest insights Author: I am not good at this, compiled by I Love Computer Vision Link: https://www.zhihu.com/question/337889115/answer/770797118 First, a basic knowledge of machine learning is essential, as traditional methods involve manual features + machine learning approaches. Winning the ImageNet visual challenge before … Read more
ClickI Love Computer Vision to star and get CVML new technologies faster Introduction: The author of this article is a friend from 52CV, recommending not only learning paths but also practical projects and some classic tasks, which are worth referencing for friends who are exploring. Author: I Am Not Good at This Link: https://www.zhihu.com/question/337889115/answer/770797118 Source: … Read more
In the field of artificial intelligence, Convolutional Neural Networks (CNN) have become essential tools for tasks such as image recognition and object detection. This article will guide you through the basic principles of CNNs, making it easy for you to get started with this powerful AI technology. 1. What is a Convolutional Neural Network? A … Read more
1 Compiled by New Intelligence Source: blog.kaggle.com Compiled by: Jia Yuepeng [New Intelligence Guide]The champion team of the Kaggle Ocean Fish Recognition and Classification Competition shares their technology: How to design robust optimization algorithms? How to analyze data and perform data augmentation? Technical details include using images from different boats for validation and how to … Read more
Original by Machine Heart Author: Chen Ping Since the introduction of the Transformer, it has swept through the entire NLP field. In fact, it can also be used for object detection. Researchers at Facebook AI first launched the visual version of the Transformer—Detection Transformer (DETR), filling the gap of using Transformer for object detection, surpassing … Read more
Click the card below to follow the WeChat public account “Python for Beginners” Object detection is a core task in computer vision that drives the development of technologies ranging from autonomous vehicles to real-time video surveillance. It involves detecting and locating objects within an image, and recent advances in deep learning have made this task … Read more
Click the card below to follow「AI Vision Engine」public account ( Note when adding: direction + school/company + nickname/name ) Event-based cameras (EBCs) are a biologically inspired alternative to traditional cameras, emerging due to their advantages in energy efficiency, temporal resolution, and high dynamic range. However, developing corresponding image analysis methods is quite challenging due to … Read more
Inspired by these studies, Shilong Liu and others conducted an in-depth study on the cross-attention module in the Transformer decoder and proposed using 4D box coordinates (x, y, w, h) as queries in DETR, namely anchor boxes. By updating layer by layer, this new query method introduces better spatial priors in the cross-attention module, simplifying … Read more
Object detection is a fundamental task in computer vision that requires us to locate and classify objects. The groundbreaking R-CNN family[1]-[3] and ATSS[4], RetinaNet[5], FCOS[6], PAA[7], and a series of variants[8][10] have made significant breakthroughs in the object detection task. One-to-many label assignment is the core solution, which assigns each ground truth box as a … Read more