Kinetics Human Action Video Dataset is a large-scale video action recognition dataset released by Google DeepMind. It contains around 300,000 trimmed human action videos from 400 action classes. This year (2017), it served in the ActivityNet challenge as the trimmed video classification track. During our participation in the challenge, we have confirmed that our TSN framework published in ECCV 2016 works s  阅读全文...

No, I am not talking about thinking of the good old days with a cup of drink. Today we are talking about our recent release of a new feature in our modified version of deep learning toolbox, Caffe. https://github.com/yjxiong/caffe In this release, we have implemented the functionality usually referred to as “memory multiloading”. A Wiki page is set up to describe how to use feature https://github.com/y  阅读全文...

We just released the code for Temporal Segment Networks (TSN) accepted to ECCV 2016. Github: Temporal Segment Networks In this release, we not only want to showcase the research work, but also mean to provide an accessible framework that will lower the barrier of entrance for research in action recognition or more general video understanding. A good example of this idea in action is the ActivityNet challenge, wher  阅读全文...

One interesting answer I saw on Stack Overflow. Someone asked how he can receive the msg send by `MPI_Bcast`. The answer is This is a common source of confusion for people new to MPI. You don’t use MPI_Recv() to receive data sent by a broadcast; you use MPI_Bcast(). For MPI collective communications, everyone has to particpate; everyone has to call the Bcast, or the Allreduce, or what have you. (That  阅读全文...