Jie Lei 雷杰

Results 31 comments of Jie Lei 雷杰

Not sure whether you guys have seen the Tensorflow implementation, it gets even better results than the original paper, see https://github.com/NLPLearn/QANet#results. Hope it helps!

I tested @hackiey 's code, it can reach em 67.515 after 18 epochs, em 68.09 after 56 epochs, w/o EMA.

Sorry for the incompleteness, above are the result of `$ make all`, below are the result of `make test`. CXX src/caffe/test/test_data_layer.cpp src/caffe/test/test_data_layer.cpp: In instantiation of ‘void caffe::DataLayerTest::TestReadCrop() [with TypeParam =...

Thanks for your kindly reply, it's very helpful.

``` lua local dirs = dir.getdirectories(path); table.sort(dirs) ``` It seems that simply add a `table.sort(dirs)` will give the desirable result.

> i found a workaround in my case which might be useful for others. switch from chrome/chromium to mozilla firefox Add my data point: on a MacBook Pro 2018 13',...

Hi @yujiangpu20, Thanks for your interest in our work. I set these ranges based on which specific lengths I care about, it is very objective.

We sample a video frame (an image) every 2 seconds and extract embedding for it.

Hi @zsxzs, Unfortunately I lost the original feature files as well. You may need to download the original videos and extract them on your own. -- Jie