Results 11 to 20 of about 14,919,864 (281)
Domain Generalised Faster R-CNN
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Domain generalisation (i.e. out-of-distribution generalisation) is an open problem in machine learning, where the goal is to train a model via one or more source domains, that will generalise well to unknown target domains. While the topic is attracting increasing interest, it has not been studied in detail in the context of object detection.
Karthik Seemakurthy +3 more
core +8 more sources
Klasifikasi Pola Kain Tenun Melayu Menggunakan Faster R-CNN [PDF]
IT Journal Research and Development, 2021 Motif tenun melayu sangat beragam. Keberagaman ini membuat sulit membedakan motif-motif kain tenun tersebut. Klasifikasi data diperlukan untuk mengidentifikasi karakteristik objek yang terkandung dalam basis data agar kemudian dikategorikan ke dalam ...
Yoze Rizki +3 more
doaj +2 more sources
Improved Traffic Sign Detection Algorithm Based on Faster R-CNN
Applied Sciences, 2022 The traffic sign detection algorithm based on Faster Region-Based Convolutional Neural Network (R-CNN) has been applied to various intelligent-vehicles driving scenarios.
Xiang Gao +5 more
doaj +2 more sources
Blurring of Brands with Faster R-CNN
, 2021 This paper focuses on techniques of blurring advertising objects in video with deep learning. The projectdesigned and implemented a system that blurs the advertising content of the video with deep learningmethods. Faster R-CNN was used as a deep learning method for detecting and recognizing objects. Manyproblems were encountered in this study.
Karslıgil Yavuz, Mine Elif +1 more
openaire +2 more sources
Object Detection Techniques: A Review
Wasit Journal of Computer and Mathematics Science, 2023 Humans can understand their surroundings clearly because they regularly notice objects in their environment. It is essential for the machine to perceive the surroundings similarly to how humans do in order to make it autonomous and capable of navigating
Widad K. Mohammed +3 more
doaj +1 more source
An Overview of Object Detection and Tracking Algorithms
Engineering Proceedings, 2023 With the development of information technology, the vision-based detection and tracking of moving objects is gradually penetrating into all aspects of people’s lives, and its importance is becoming more prominent, attracting more and more scientists and ...
Kehao Du, Alexander Bobkov
doaj +1 more source
Innovative Region Convolutional Neural Network Algorithm for Object Identification
Journal of Open Innovation: Technology, Market and Complexity, 2022 : Object identification is a part of the field of computer science, namely, image processing, whose research continues to innovate. Object identification describes an object based on the main characteristics of the object.
Yurika Permanasari +3 more
doaj +1 more source
Face Detection with the Faster R-CNN [PDF]
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017 The Faster R-CNN has recently demonstrated impressive results on various object detection benchmarks. By training a Faster R-CNN model on the large scale WIDER face dataset, we report state-of-the-art results on two widely used face detection benchmarks, FDDB and the recently released IJB-A.
Huaizu Jiang, Erik G. Learned-Miller
openaire +3 more sources
Remote Sensing, 2021 Tracking objects across multiple video frames is a challenging task due to several difficult issues such as occlusions, background clutter, lighting as well as object and camera view-point variations, which directly affect the object detection.
Danilo Avola +7 more
doaj +1 more source
Few-Shot Adaptive Faster R-CNN [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Accepted at CVPR ...
Tao Wang 0053 +3 more
openaire +3 more sources