Object in such case could be human being and other suspicious and sensitive objects. Correct detection and classification on accuracy measures is always a challenge in these problems. Now days, deep learning techniques are getting utilized as an effective and efficient tool for different classification...
Deep learning techniques require a large number of labeled training images, so the use of a GPU is recommended to decrease the time needed to train a model. Deep learning-based approaches to object detection use convolutional neural networks (CNNs or ConvNets), such as YOLO, or use single-...
With the rapid development of deep learning techniques, deep convolutional neural networks (DCNNs) have become more important for object detection. Compared with traditional handcrafted feature-based methods, the deep learning-based object detection methods can learn both low-level and high-level image...
As the field progresses, the quest to tackle these issues drives both the development of novel techniques and the refinement of existing ones. Early traditional approaches in object detection Image source Before the deep learning revolution took hold, object detection largely depended on manual feature...
Deep learning is a powerful machine learning technique that automatically learns image features required for detection tasks. There are several techniques for object detection using deep learning such as Faster R-CNN, You Only Look Once (YOLO v2), and SSD. This example trains an SSD vehicle detec...
This quick post summarized recent advance in deep learning object detection in three aspects, two-stage detector, one-stage detector and backbone architectures. Next time you are training a custom object detection with a third-party open-source framework, you will feel more confident to select an...
Object Detection with DIGITS You can use NVIDIA DIGITS to interactively perform commondeep learningtasks such as managing data, defining networks architectures, training multiple models in parallel, and monitoring training performance in real time. If you are new to deep learning with GPUs, DIGITS can...
Deep learning is a powerful machine learning technique that you can use to train robust object detectors. Several deep learning techniques for object detection exist, including Faster R-CNN and you only look once (YOLO) v2. This example trains a Faster R-CNN vehicle detector using thetrainFast...
deep learning from five aspects, including multi-scale feature learning, data augmentation, training strategy, context-based detection and GAN-based detection. Then, we thoroughly analyze the performance of some typical small object detection algorithms on popular datasets, such as MS-COCO, PASCAL-VOC...
Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant cont... N Manakitsa,GS Maraslidis,L Moysis,... 被引量: 0发表: 2024年 加载更多研究点推荐 Object Detection Deep Learning Techniques 站内活动 ...