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object detection

113 articles · Page 2 of 2
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.

CNNSLAMSemantic Segmentation
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.

Video Streamcomputer visionobject detection
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 detectionimage processing
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-CNNPyTorchPython
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.

AIalgorithm surveyobject detection
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 Lossfeature pyramid
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.

R-CNNYOLOobject detection
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.

R-CNNSSDYOLO
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.

OpenCVPythonobject detection
0 likes · 9 min read
How to Build a Real-Time Deep Learning Object Detector with OpenCV and Python
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.

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