Long-term Recurrent Convolutional Networks for Visual Recognition and Description
作者:Jeffrey Donahue;Lisa Hendricks;Sergio Guadarrama;Marcus Rohrbach;Subhashini Venugopalan;Kate Saenko;Trevor Darrell 作者单位:EECS Department, University of California, Berkeley 加工时间:2015-03-29 信息来源:EECS 索取原文[12 页]
关键词:视觉识别;图像处理;深度学习;卷积神经网络 摘 要:We develop a novel recurrent convolutional architecture suitable for large-scale visual learning which is end-to-end trainable, and demonstrate the value of these models on benchmark video recognition tasks, image description and retrieval problems, and video narration challenges.