Results 291 to 300 of about 296,550 (316)
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Detection of objects carried by people
Proceedings. International Conference on Image Processing, 2003Our application context is the visual surveillance of archeological sites. In this context the main aim is to detect the presence of people and to scan them in order to recognize intruders on the basis of their gestures. Since an intruder needs some utensils indispensable to perform the illegal actions of excavating on the ancient ruins, intruder ...
M Leo, G Attolico, A Branca, A Distante
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Proceedings of the 3rd International Conference on Vision, Image and Signal Processing, 2019
Object detection with deep learning model has achieved good results in many fields, but in some fields that think highly of data privacy, such as medical care, its applications is greatly limited by data. And Federated Learning allows clients to train a model together, while leaving their data in the local, without sharing with the server or other ...
Peihua Yu, Yunfeng Liu
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Object detection with deep learning model has achieved good results in many fields, but in some fields that think highly of data privacy, such as medical care, its applications is greatly limited by data. And Federated Learning allows clients to train a model together, while leaving their data in the local, without sharing with the server or other ...
Peihua Yu, Yunfeng Liu
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Performance evaluation of object detection techniques for object detection
2016 International Conference on Inventive Computation Technologies (ICICT), 2016Object detection plays vital role in image processing for finding the objects of interest Increase of image size and complexity has thrust for developing novel and robust object detection techniques. There are number of methods existing for detecting the objects in a particular scene.
M. N. Vijayalakshmi, M. Senthilvadivu
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Contextual Priming for Object Detection
International Journal of Computer Vision, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2023
For this project, our team took 20,000 image samples from ETDs and annotated them using a Python package called PyLabel. PyLabel is an open-source Python library used to label PDFs. PyLabel can also take a trained dataset and use it for AI-aided annotations.
Dinh, Kevin +3 more
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For this project, our team took 20,000 image samples from ETDs and annotated them using a Python package called PyLabel. PyLabel is an open-source Python library used to label PDFs. PyLabel can also take a trained dataset and use it for AI-aided annotations.
Dinh, Kevin +3 more
openaire +1 more source
A survey and performance evaluation of deep learning methods for small object detection
Expert Systems With Applications, 2021Yi Shang
exaly
Object detection in optical remote sensing images: A survey and a new benchmark
ISPRS Journal of Photogrammetry and Remote Sensing, 2020Ke Li, Gong Cheng, Liqiu Meng
exaly
Towards Large-Scale Small Object Detection: Survey and Benchmarks
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Gong Cheng, Xiwen Yao, Kebing Yan
exaly
Remote sensing image super-resolution and object detection: Benchmark and state of the art
Expert Systems With Applications, 2022Yi Wang +2 more
exaly
A systematic review and analysis of deep learning-based underwater object detection
Neurocomputing, 2023Wei Song, Antonio Liotta
exaly