Results 21 to 30 of about 487,056 (216)
Fruit identification using improved Faster R-CNN model
Objective: To improve the identification accuracy of fruit categories. Methods: An identification method for fruit categories was established based on an improved Faster regional convolutional neural network (Faster R-CNN) model.
JIAN Yanping, SANG Yanli, LI Yueru
doaj +1 more source
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images. [PDF]
The coronavirus (COVID-19) pandemic has a devastating impact on people’s daily lives and healthcare systems. The rapid spread of this virus should be stopped by early detection of infected patients through efficient screening.
Sahin ME, Ulutas H, Yuce E, Erkoc MF.
europepmc +2 more sources
Rethinking the Faster R-CNN Architecture for Temporal Action Localization [PDF]
We propose TAL-Net, an improved approach to temporal action localization in video that is inspired by the Faster RCNN object detection framework. TAL-Net addresses three key shortcomings of existing approaches: (1) we improve receptive field alignment ...
Yu-Wei Chao +5 more
semanticscholar +1 more source
Balinese Script Handwriting Recognition Using Faster R-CNN
In Balinese culture, the ability to read Balinese script is one of the challenges young generations face. Advances in machine learning have proposed handwriting detection systems using both traditional and deep learning models.
Alif Adwitiya Pratama +2 more
doaj +1 more source
Object Sorting using Faster R-CNN
In a factory production line, different industry parts need to be quickly differentiated and sorted for further process. Parts can be of different colors and shapes. It is tedious for humans to differentiate and sort these objects in appropriate categories. Automating this process would save more time and cost.
Chen, Pengchang, Elangovan, Vinayak
openaire +2 more sources
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment [PDF]
Few-shot object detection (FSOD) aims to detect objects using only a few examples. How to adapt state-of-the-art object detectors to the few-shot domain remains challenging. Object proposal is a key ingredient in modern object detectors.
G. Han +4 more
semanticscholar +1 more source
A hurricane is a type of storm called tropical cyclone (TC) and is likely to lead to severe storms and heavy rains. An early detection of hurricanes using satellite images can alarm people about upcoming disasters and thus minimize any casualties and material losses. Faster R-CNN is one of the most popular and recent object detection approaches. In the
Soner Kızıloluk, Eser Sert
openaire +2 more sources
Maize Tassel Detection From UAV Imagery Using Deep Learning
The timing of flowering plays a critical role in determining the productivity of agricultural crops. If the crops flower too early, the crop would mature before the end of the growing season, losing the opportunity to capture and use large amounts of ...
Aziza Alzadjali +7 more
doaj +1 more source
Identifying threat objects using faster region-based convolutional neural networks (faster R-CNN)
Automated detection of threat objects in a security X-ray image is vital to prevent unwanted incidents in busy places like airports, train stations, and malls. The manual method of threat object detection is time-consuming and tedious.
Reagan Galvez, Elmer Pamisa Dadios
doaj +1 more source
Comparison of Faster R-CNN, YOLO, and SSD for Third Molar Angle Detection in Dental Panoramic X-rays. [PDF]
The use of artificial intelligence algorithms (AI) has gained importance for dental applications in recent years. Analyzing AI information from different sensor data such as images or panoramic radiographs (panoramic X-rays) can help to improve medical ...
Vilcapoma P +6 more
europepmc +2 more sources

