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Object Detection

115 articles · Page 2 of 2
Tencent Cloud Developer
Tencent Cloud Developer
Apr 16, 2019 · Artificial Intelligence

Building Image Recognition Systems: From Basics to Advanced AI Techniques

This article summarizes a computer‑vision salon where Dr. Ji Yongnan explains imaging pipelines, traditional feature‑based methods, deep‑learning breakthroughs, Tencent Cloud AI services, real‑world case studies, and answers audience questions about machine‑vision versus computer‑vision and data‑scarcity challenges.

AI applicationsObject Detectioncomputer vision
0 likes · 18 min read
Building Image Recognition Systems: From Basics to Advanced AI Techniques
Hulu Beijing
Hulu Beijing
Apr 2, 2019 · Artificial Intelligence

From Object Detection to Language Models: A Deep Dive into AI Advances

This article surveys the evolution of object detection models—comparing one‑stage and two‑stage approaches, their performance trade‑offs, and recent state‑of‑the‑art methods—while also outlining key concepts and breakthroughs in natural language processing, highlighting the impact of deep‑learning models such as BERT.

AI researchBERTNatural Language Processing
0 likes · 14 min read
From Object Detection to Language Models: A Deep Dive into AI Advances
DataFunTalk
DataFunTalk
Mar 15, 2019 · Artificial Intelligence

A Comprehensive Overview of Deep Learning Applications in Computer Vision

This article provides an extensive review of deep learning techniques applied to computer vision, covering the evolution of CNN architectures, image and video processing tasks, 2.5‑D and 3‑D reconstruction, object detection, segmentation, tracking, SLAM, and various practical applications such as AR, content retrieval, and autonomous driving.

CNNObject DetectionSLAM
0 likes · 22 min read
A Comprehensive Overview of Deep Learning Applications in Computer Vision
MaGe Linux Operations
MaGe Linux Operations
Nov 16, 2018 · Artificial Intelligence

Real-Time Object Detection with OpenCV, Python, and Deep Learning

This tutorial walks through extending a deep‑learning object detector to process live video streams using OpenCV and Python, covering setup, command‑line arguments, model loading, frame‑by‑frame detection, drawing bounding boxes, FPS measurement, and performance tips.

Object DetectionVideo Streamcomputer vision
0 likes · 9 min read
Real-Time Object Detection with OpenCV, Python, and Deep Learning
Sohu Tech Products
Sohu Tech Products
Oct 24, 2018 · Artificial Intelligence

Intelligent News Image Formatter: AI‑Based Cropping and Selection System for News List Images

This article introduces the Intelligent News Formatter, an AI‑driven system that tackles news‑app list‑image problems by using face detection, object detection, deep‑learning based cropping, image quality filtering, and similarity removal to automatically produce aesthetically pleasing and information‑rich thumbnails.

AIFace DetectionObject Detection
0 likes · 14 min read
Intelligent News Image Formatter: AI‑Based Cropping and Selection System for News List Images
Qunar Tech Salon
Qunar Tech Salon
Sep 11, 2018 · Artificial Intelligence

Overview of Deep Learning Object Detection Methods and Detailed Implementation of Faster R‑CNN

This article reviews major deep‑learning object detection approaches—including one‑stage YOLO and SSD and two‑stage RCNN, Fast RCNN, and Faster RCNN—then provides a step‑by‑step explanation of Faster RCNN’s architecture, region‑proposal network, RoI pooling, loss functions, and sample PyTorch code.

Faster R-CNNObject DetectionPyTorch
0 likes · 20 min read
Overview of Deep Learning Object Detection Methods and Detailed Implementation of Faster R‑CNN
Meitu Technology
Meitu Technology
Aug 30, 2018 · Artificial Intelligence

Survey of Deep Learning Based Object Detection Algorithms

This survey reviews deep‑learning‑based object detection, tracing evolution from R‑CNN to modern two‑stage (Faster R‑CNN) and one‑stage (YOLO, SSD) models, discusses enhancements for scale variance, small‑object and domain‑shift challenges—including logo detection pipelines, PANet, temporal action localization, knowledge‑distillation training, and extensive speed‑accuracy trade‑off analyses to guide practitioners.

AIObject Detectionalgorithm survey
0 likes · 20 min read
Survey of Deep Learning Based Object Detection Algorithms
Meitu Technology
Meitu Technology
Aug 17, 2018 · Artificial Intelligence

Deep Learning-based Object Detection Algorithm Review (Part 2): Solutions and Network Improvements

The article reviews deep learning object detection solutions: small object detection via FPN and TDM, irregular shapes via deformable convolution, sample imbalance via focal loss and cascade methods, occlusion handling with Soft‑NMS and RRC, large‑batch training using MegDet, relationship modeling with Relation Networks, and network improvements such as DetNet, RefineDet, Pelee, and RFBNet.

FPNFocal LossObject Detection
0 likes · 38 min read
Deep Learning-based Object Detection Algorithm Review (Part 2): Solutions and Network Improvements
Meitu Technology
Meitu Technology
Aug 14, 2018 · Artificial Intelligence

Survey of Deep Learning Based Object Detection Algorithms

This survey reviews two‑stage and one‑stage deep learning object detection methods—from early R‑CNN and OverFeat to modern Faster R‑CNN, Mask R‑CNN, SSD, and YOLO variants—detailing their architectural advances, training strategies, speed‑accuracy trade‑offs, and benchmark performance for researchers and industry practitioners.

Object DetectionR-CNNYOLO
0 likes · 30 min read
Survey of Deep Learning Based Object Detection Algorithms
HomeTech
HomeTech
Aug 7, 2018 · Artificial Intelligence

Overview of Object Detection Algorithms: Two‑Stage and One‑Stage Methods

This article reviews the evolution of visual object detection, explaining traditional region‑based approaches, the rise of deep‑learning two‑stage frameworks such as R‑CNN, Fast R‑CNN and Faster R‑CNN, and the faster one‑stage models like Overfeat, YOLO, SSD and RetinaNet, together with their design choices, training strategies and loss functions.

Object DetectionR-CNNSSD
0 likes · 17 min read
Overview of Object Detection Algorithms: Two‑Stage and One‑Stage Methods
AntTech
AntTech
Apr 26, 2018 · Artificial Intelligence

Technical Overview of Alipay's Augmented Reality Platform and Its Recognition Algorithms

This article provides a comprehensive technical overview of Alipay's AR platform, covering AR fundamentals, classification, the platform's layered architecture, NFT and AI‑based recognition pipelines, client‑server processing, performance metrics, and recruitment information for interested engineers.

AIARFeature Tracking
0 likes · 10 min read
Technical Overview of Alipay's Augmented Reality Platform and Its Recognition Algorithms
MaGe Linux Operations
MaGe Linux Operations
Sep 23, 2017 · Artificial Intelligence

How to Build a Real-Time Deep Learning Object Detector with OpenCV and Python

This guide walks you through extending a deep‑learning object detection project to process live video streams using OpenCV, Python, and the VideoStream class, covering environment setup, command‑line arguments, model loading, frame‑by‑frame detection, FPS measurement, and performance‑boosting tips.

Object DetectionOpenCVPython
0 likes · 9 min read
How to Build a Real-Time Deep Learning Object Detector with OpenCV and Python
Alibaba Cloud Developer
Alibaba Cloud Developer
Jul 24, 2017 · Artificial Intelligence

How Alibaba’s AI Beats the KITTI Benchmark and Revolutionizes Visual Shopping

Alibaba’s AI breakthroughs—from a foot‑scanning shopping demo that lets a Google engineer instantly find matching shoes, to a record‑setting vehicle detection model on KITTI and world‑leading OCR for real‑time image review—showcase the power and commercial potential of modern computer‑vision research.

AIOCRObject Detection
0 likes · 5 min read
How Alibaba’s AI Beats the KITTI Benchmark and Revolutionizes Visual Shopping
Qunar Tech Salon
Qunar Tech Salon
Feb 20, 2016 · Artificial Intelligence

Mobile Image Search: Algorithm Framework and Implementation at Paizhi Tao

Mobile image search has become a critical user demand, and since its 2014 launch, Alibaba’s Paizhi Tao has evolved through multiple iterations to a robust AI-driven pipeline comprising category prediction, object detection, deep and local image feature extraction, scalable retrieval indexing, and relevance-based ranking.

Object Detectiondeep learningimage search
0 likes · 6 min read
Mobile Image Search: Algorithm Framework and Implementation at Paizhi Tao