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Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Aug 22, 2024 · Artificial Intelligence

Understanding Faster R-CNN: Architecture, Training, and Experimental Results

This article provides an in‑depth overview of the Faster R‑CNN object detection framework, covering its background, key innovations such as the Region Proposal Network, detailed algorithmic principles, training procedures, experimental results on PASCAL VOC and MS COCO, and a reproducible PyTorch implementation.

Computer VisionDeep LearningFaster R-CNN
0 likes · 14 min read
Understanding Faster R-CNN: Architecture, Training, and Experimental Results
Code DAO
Code DAO
Dec 22, 2021 · Artificial Intelligence

How Context R-CNN Leverages Temporal Context to Detect Occluded Objects

The article reviews the Context R-CNN paper, which introduces short‑term and long‑term memory banks and an attention mechanism to incorporate temporal context from multiple frames captured by a fixed camera, enabling robust detection of partially occluded, low‑light, distant, or background‑cluttered objects, and shows quantitative gains over standard Faster R‑CNN.

Attention MechanismContext R-CNNFaster R-CNN
0 likes · 6 min read
How Context R-CNN Leverages Temporal Context to Detect Occluded Objects
Code DAO
Code DAO
Nov 30, 2021 · Artificial Intelligence

How to Train a Custom Object Detector with PyTorch Faster R‑CNN

This article provides a step‑by‑step guide to building, training, and evaluating a custom object detection model using PyTorch Faster R‑CNN on a microcontroller dataset, covering data preparation, configuration, model modification, training loops, loss visualization, and inference on new images.

Faster R-CNNPyTorchPython
0 likes · 23 min read
How to Train a Custom Object Detector with PyTorch Faster R‑CNN
Amap Tech
Amap Tech
Jul 23, 2019 · Artificial Intelligence

Traffic Sign Detection in Gaode Maps: Machine Learning Techniques and System Architecture

Gaode Maps uses a two-stage machine‑learning pipeline (Faster‑RCNN with shape‑based region proposal networks and fine‑grained classifiers) to detect hundreds of traffic‑sign types in billions of street‑view images, achieving high recall and precision, scalable updates, and near‑real‑time map data refresh.

AIComputer VisionDeep Learning
0 likes · 11 min read
Traffic Sign Detection in Gaode Maps: Machine Learning Techniques and System Architecture
Xianyu Technology
Xianyu Technology
Feb 27, 2019 · Artificial Intelligence

UI2CODE: Layout Analysis and Background/Foreground Extraction for UI Images

The UI2CODE system tackles UI layout analysis by first extracting backgrounds with Sobel, Laplacian and Canny edge detection plus a flood‑fill algorithm, then isolating foreground components through connected‑component analysis and a Faster R‑CNN classifier, and finally fusing both pipelines to achieve superior precision, recall and IoU on Xianyu app screenshots.

Computer VisionDeep LearningFaster R-CNN
0 likes · 16 min read
UI2CODE: Layout Analysis and Background/Foreground Extraction for UI Images
DataFunTalk
DataFunTalk
Nov 29, 2018 · Artificial Intelligence

TensorFlow Technology Development and Practical Applications: Deep Learning Overview, TensorFlow Introduction, and Fashion Design Use Cases

The article summarizes Zheng Zeyu's presentation on deep learning fundamentals, the evolution and features of TensorFlow, and how AI techniques such as neural networks and Faster R-CNN are applied to address data challenges and enable intelligent fashion design and recommendation.

Deep LearningFaster R-CNNTensorFlow
0 likes · 10 min read
TensorFlow Technology Development and Practical Applications: Deep Learning Overview, TensorFlow Introduction, and Fashion Design Use Cases
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.

Computer VisionFaster R-CNNPyTorch
0 likes · 20 min read
Overview of Deep Learning Object Detection Methods and Detailed Implementation of Faster R‑CNN