摘要： - Fire modules consisting of a 'squeeze' layer with 1*1 filters feeding an 'expand' layer with 1*1 and 3*3 filters(Fire模塊包含一個'1*1濾波器的'擠壓'層和一個1*1和3*3濾波 阅读全文

摘要： - Dense blocks where each layer is connected to every other layer in feedforward fashion（緊密塊是指每一個層與每個其他層都以前向的方式相連接） - Alleviates vanishing gradient, s 阅读全文

摘要： -Argues that key is transitioning effectively from shallow to deep and residual representations are not necessary(认为关键是有效地从浅到深，而残差表示方法是不必要的) -Fractal 阅读全文

摘要： - Mlpconv layer with "micronetwork" with each conv layer to compute more abstract features for local patches（带有“微网”的MLPCCONV层的每个CONV层计算局部补丁的更多抽象特征） - 阅读全文

摘要： psimpl - generic n-dimensional polyline simplification. psimpl is a lightweight C++ library that is generic, easy to use, and supports multiple simpli 阅读全文

摘要： Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun Microsoft Research {kahe, v-xiangz, v-shren, jiansun}@microsoft.com Abstract摘要 Deeper neural network 阅读全文

摘要： Rupesh Kumar SrivastavaKlaus Greff ̈J urgenSchmidhuberThe Swiss AI Lab IDSIA / USI / SUPSI{rupesh, klaus, juergen}@idsia.ch AbstractTheoretical and em 阅读全文

摘要： Rupesh Kumar Srivastava （邮箱：RUPESH@IDSIA.CH）Klaus Greff （邮箱：KLAUS@IDSIA.CH）J¨ urgen Schmidhuber （邮箱：JUERGEN@IDSIA.CH）The Swiss AI Lab IDSIA（瑞士AI实验室IDS 阅读全文

摘要： 计算离散的frechet 距离，通过计算两条曲线之间的点的距离，将两条曲线上的点按照距离以及曲线的趋势进行配对，最后根据这些配对的距离选出最后的离散frechet距离(compute discrete frechet distance between two curves ) 地图匹配算法实践：ht 阅读全文

摘要： Understanding the Effective Receptive Field in Deep Convolutional Neural Networks 理解深度卷积神经网络中的有效感受野 Abstract摘要 We study characteristics of receptive fi 阅读全文