But one important implication of deep learning techniques can found in Medical Image Analysis. Deep learning techniques beat the human-level performance and come with a better solution in the medical domain. Among different deep learning techniques Convolutional Neural Network, Recurrent Neural Network, ...
Learning with images and their classification, segmentation, localization, annotation, and abnormally detection is one of the current challenging and exciting task for the researchers. Recently deep learning techniques give excellent performance in Object Detection, Speech Recognition, Abnormality Detection, ...
【论文笔记】Deep Metric Learning for Visual Understanding An overview of recent advances 度量学习综述 分类: 度量学习 标签: 度量学习 好文要顶 关注我 收藏该文 微信分享 no_forget 粉丝- 0 关注- 2 +加关注 0 0 升级成为会员 « 上一篇: Pytorch学习:实现ResNet34网络 » 下一篇: 【...
Deep Learning for Environmentally Robust Speech Recognition Deep learning for environmentally robust speech recognition: An overview of recent developments. ACM Trans. Intell. Syst. Technol. 2018, 9, 49. [Cross... Z Zhang,JT Geiger,J Pohjalainen,... - 《Acm Transactions on Intelligent Systems ...
目标检测论文:Recent Advances in Deep Learning for Object Detection,目标检测论文:RecentAdvancesinDeepLearningforObjectDetectiontwo-stagedetectionframeworks:one-stagedetectionframeworks:
Due to the tremendous successes of deep learning based image classification, object detection techniques using deep learning have been actively studied in recent years. In this paper, we give a comprehensive survey of recent advances in visual object detection with deep learning. By reviewing a ...
Before the prevalent of deep learning, color and shape-based features are also used to address traffic sign detection problems [10]. With the rapid advancement of convolutional neural networks (CNNs) in deep learning, some deep learning-based small object detection methods have sprung up. However...
Deep learning has become the mainstream technology in computer vision, and it has received extensive research interest in developing new medical image processing algorithms to support disease detection and diagnosis. As compared to conventional machine learning technologies, the major advantage of deep lear...
A Survey of Deep Learning-Based Object Detection Recent Advances in Deep Learning for Object Detection Recurrent Scale Approximation for Object Detection in CNN Relation Networks for Object Detection Single-Shot Refinement Neural Network for Object Detection ...
The success of deep learning has been a catalyst to solving increasingly complex machine-learning problems, which often involve multiple data modalities. We review recent advances in deep multimodal learning and highlight the state-of the art, as well as gaps and challenges in this active research...