论文:R-C3D: Region Convolutional 3D Network for Temporal Activity Detection(2017) 主要贡献
1.提出一个包括活动候选区和任意长度活动的分类的端到端模型。如下图所示 2.提出在候选区生成和分类部分共享全卷积C3D特征,实现了…
在论文(Image Style Transfer Using Convolutional Neural Networks)中(https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf),风格转换使用了19层VGG网络中的特征,它由一系列卷积层和池…
A Brief Survey of Deep Reinforcement Learning
深度强化学习的简要概述 作者: Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath 文章目录 摘要 Abstract1. 引言 Introduction2. 奖励驱动行为 Reward-Driven Behavior2.1. 马尔科夫…
神经网络中神经元是什么 What do the images below have in common? 以下图片有什么共同点? Most readers will quickly catch on that they are all seats, as in places to sit. It may have taken you less than a second to recognize this common characteri…