First, the research status about target detection (i.e., traditional methods, deep learning algorithms based on anchor and anchor-free methods) was introduced. Then the used detection algorithms including Faster R-CNN, Cascade RPN, RetinaNet, and Side-aware boundary localization were presented. ...
Deep learning is an important research field of machine learning. In recent years, many breakthroughs have been made in the field of target detection, which has been applied to specific target detection tasks. This paper first introduces the representative traditional detection methods and discusses th...
读论文Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning 这篇论文是飞飞出品,你知道的,imageNet的光环。论文主要是通过深度增强学习让机器人在房间里面找东西。 那么对于基于DRL的算法,确实存在论文指出的的缺点:1、对目标的泛化能力比较弱;2、数据的低效性,无法从模拟环境转移到真实...
Traditional radar target detection method performs not good enough in the complex scene which consist of multi sidelobe jamming, non-homogeneous and non-stability clutter with strict probability of detection. The performance need to be further
这种方法也常被称为tracking-by-detection。近年来,各种机器学习算法被应用在判别式方法上,其中比较有代表性的有多示例学习方法(multiple instance learning), boosting和结构SVM(structured SVM)等。判别式方法因为显著区分背景和前景的信息,表现更为鲁棒,逐渐在目标跟踪领域占据主流地位。值得一提的是,目前大部分深度...
First, we evaluated the performance of the target detection (i.e., the classifier), the results of which are presented in Section 5.1. Then we measure the performance of extracting the target of sarcasm (i.e., the deep learning), presented in Section 5.2. To determine the efficiency of ...
target detectionIn this research, a 3D visual recognition system has been developed based on Wei deep learning algorithm using GPU. The proposed system ... Y Shu,C Xiong,C Chen - 《International Journal of Pattern Recognition & Artificial Intelligence》 被引量: 0发表: 2024年 Small-target ship...
在这过程中会出现一些多目标跟踪中常见的问题,这些问题主要是针对视频中存在的具有不同光照,不同水平的遮挡情况,不同的视点的大量的data present进行建模。Tracking-by-detection这种策略是目前解决这些问题最为成功的了。 The task is then to associate each measurement to a corresponding target to address the pr...
mstar_deeplearning_project The repository is my graduation project about radar target classification, detection and recognition on public MSTAR using deep learning method. The main framework is based on caffe and faster-rcnn using matlab interface with a bit modification. Besides, there is another re...
Using deep learning to detect small targets in infrared oversampling images According to the oversampling imaging characteristics, an infrared small target detection method based on deep learning is proposed. A 7-layer deep convolu... LIN,Liangkui,WANG,... - 《Journal of Systems Engineering & ...