Permalink
Browse files

Update link to BDD license

  • Loading branch information...
daylen committed Jul 8, 2016
1 parent 14bca96 commit 5fea81fee3a03032002ca1006a029feda7efbf90
Showing with 1 addition and 1 deletion.
  1. +1 −1 README.md
@@ -18,7 +18,7 @@ You can easily use this model with our evaluation code or with our demo server c
In order to use our pretrained model:
- Compile the `feature/20160617_cb_softattention` branch of [our fork of Caffe](https://github.com/akirafukui/caffe/). This branch contains Yang Gao’s Compact Bilinear layers ([dedicated repo](https://github.com/gy20073/compact_bilinear_pooling), [paper](https://arxiv.org/abs/1511.06062)) released under the [BDD license](https://github.com/gy20073/compact_bilinear_pooling/blob/master/LICENSE), and Ronghang Hu’s Soft Attention layers ([paper](https://arxiv.org/abs/1511.03745)) released under BSD 2-clause.
- Compile the `feature/20160617_cb_softattention` branch of [our fork of Caffe](https://github.com/akirafukui/caffe/). This branch contains Yang Gao’s Compact Bilinear layers ([dedicated repo](https://github.com/gy20073/compact_bilinear_pooling), [paper](https://arxiv.org/abs/1511.06062)) released under the [BDD license](https://github.com/gy20073/compact_bilinear_pooling/blob/master/caffe-20160312/LICENSE_BDD), and Ronghang Hu’s Soft Attention layers ([paper](https://arxiv.org/abs/1511.03745)) released under BSD 2-clause.
- Download the [pre-trained ResNet-152 model](https://github.com/KaimingHe/deep-residual-networks).
If you want to train from scratch, do the above plus:

0 comments on commit 5fea81f

Please sign in to comment.