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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 LossNeural Networks
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.

Computer VisionR-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.

OpenCVPythonReal-time Video
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.

AIComputer VisionDeep Learning
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.

Deep LearningMobile AIimage search
0 likes · 6 min read
Mobile Image Search: Algorithm Framework and Implementation at Paizhi Tao