JLC

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Same I get 0 unsup_loss bbox even though I used `load_from` with pretrained model. Sometimes it starts at a small value but eventually goes to zero and during evaluation there...

Yes I trained a model using the a config in config/baseline/ and it seems to do well: ```Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.691...

I get the same problem but using mmdet 2.17 still doesn't work for me.

Looking into this more, there is also some discrepancy when compared with paper's results for semi-supervised case. In the relevant lines of code, I set Adam optimizer as follows: ```...

I ran more trials with Adam at LR of 0.02 and decay after 15 and default TF setting. Here are results for the three models: ![mnist_ladder_full_100](https://cloud.githubusercontent.com/assets/17368281/19371602/7570affa-9182-11e6-87a3-c726e7220fe9.png) ![mnist_conv_fc_100](https://cloud.githubusercontent.com/assets/17368281/19371607/7d883712-9182-11e6-8f36-ba58a97f337f.png) ![mnist_conv_small_gamma_100](https://cloud.githubusercontent.com/assets/17368281/19371610/840050a2-9182-11e6-9f71-d213e4629ec1.png) The convnets...

Yeah. I am also having a lot of trouble. What versions do we use?