论文:Text-Attentional Convolutional Neural Network for Scene Text Detection 阅读笔记 一、论文 (16)Text-Attentional Convolutional Neural Network for Scene Text Detection https://arxiv.org/abs/1604.02878 二、论文笔记 1、简介
Specifically, the convolutional weight for local point set is forced to learn a high-level relation expression from predefined geometric priors, between a sampled point from this point set and the others. In this way, an inductive local representation with explicit reasoning about the spatial layout...
To address the above problems, in this paper, a novel physics-informed convolutional neural network framework based on finite discretization schemes with a stack of a series of nonlinear convolutional units (NCUs) for solving PDEs in the space-time domain without any labelled data (f-PICNN) is...
在视频动作识别中,传统的2D卷积网络并不好, 2017年的NeuralIPS会议(当时还是直男版本的NIPS会议)上,本论文的发表引起了关注。 一般来说,做视频动作识别有三个方向: 1) Two-Streams CNN,除了空域,还引入时域信息,比如FlowNet。 2)3D卷积,Convolutional 3D Networks。 3)RNN,把连续动画作为时间序列学习。 本文的发...
First, many works have adopted convolutional neural networks (CNNs) to process reviews [5,6,7]. Although CNNs can keep short sequence information and discern informative words, their ability to model noisy, fragmented, and long-tailed review data is limited. Moreover, when using word embeddings...
Our neural network architecture is based on a 3D U-net structure27,28 augmented with multi-head axial self-attention (“axial self-attention” in short)29. The motivation behind self-attention is similar to that of atrous convolution (or dilated convolution) in convolutional neural networks51,52...
With the great success of deep learning over the last decade, convolutional neural networks (CNNs) have been widely applied to cell detection [8,9], cell segmentation [10–12], cell classification [13,14], etc. Deep learning can automatically learn the optimized features, which are completely...
To deal with scale variation, long-range dependency has recently been explored in the form of a non-local operation embedded in convolutional neural networks (CNNs) [32]. It computes the response at a specific position by attend- ing to all positions on the feature graph and taking their ...
convolutional neural network (AD-CNN) specially designed for water body extraction from Sentinel-2 imagery. On the one hand, AD-CNN exploits dense connections to allow uncovering deeper features while simultaneously characterizing multiple data complexities. On the other hand, the proposed model also ...
In some embodiments, methods and systems for pushing audiovisual playlists based on a text-attentional convolutional neural network include a local voice interactive terminal, a dialog system server and a playlist recommendation engine, where the dialog system server and the playlist recommendation engine...