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视频中时间连贯性的深度学习

Deep Learning from Temporal Coherence in Video
课程网址: http://videolectures.net/icml09_collobert_dlt/  
主讲教师: Ronan Collobert
开课单位: NEC Laboratories America,Inc
开课时间: 2009-08-26
课程语种: 英语
中文简介:
这项工作提出了一种深度架构的学习方法,该方法利用顺序数据,特别是从无标签视频记录中自然存在的时间一致性中。也就是说,两个连续的帧可能包含同一个或多个对象。这种相干性被用作未标记数据上的监督信号,并用于提高感兴趣的监督任务的性能。我们在一些姿态不变目标和人脸识别任务中证明了该方法的有效性。
课程简介: This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled video recordings. That is, two successive frames are likely to contain the same object or objects. This coherence is used as a supervisory signal over the unlabeled data, and is used to improve the performance on a supervised task of interest. We demonstrate the effectiveness of this method on some pose invariant object and face recognition tasks.
关 键 词: 深度架构; 顺序数据; 监督任务
课程来源: 视频讲座网
数据采集: 2022-12-12:chenjy
最后编审: 2022-12-12:chenjy
阅读次数: 22