We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
2 parents 6c0f1a9 + 79b2c32 commit d263036Copy full SHA for d263036
README.md
@@ -4,7 +4,7 @@ Sequence-to-sequence Model with Temporal Attention
4
__seq2seq\_temporal\_attention__ is a tool for __automatic video captioning__.
5
This is an implementation of
6
*Generating Video Description using Sequence-to-sequence Model with Temporal Attention*
7
-([PDF](https://staff.aist.go.jp/laokulrat.natsuda/paper/natsuda.coling2016.pdf)).
+([PDF](http://aclweb.org/anthology/C16-1005)).
8
9
## Requirements (Linux/Mac)
10
0 commit comments