Comments (1)
I am not the author, but I guess it is also about the speed. Having separate net may lead to higher accuracy (or may be not as the confidence and actions are kinda share same knowledge in low level. So I think it is better to share some low level layers) but it definitely will cost double of the computation. Anyway, the confidence branch and the layers from fc4 to fc6 are fine tuned again in the online adaptation part, so it will be adjusted with the previous layer again.
But if you want to experiment this thing, I would suggest you to also try having the branch start from middle (e.g. from fc4) in additional of two separate nets.
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Related Issues (15)
- about training code HOT 1
- Please upload 'models' files HOT 1
- Tensorflow version for Training HOT 1
- Training dataset HOT 1
- Can you provide the init model needed for train the network? [net, dummy_nets, dummy_score_nets] = init_model('./models/net_init.mat', opts); train_db_path = './models/train_db.mat';
- Problem of coding RL
- about your example model HOT 3
- The script 'test_demo' is lost HOT 1
- Undefined function or variable 'test_demo' HOT 3
- the error "FILTERS are larger than the DATA (including padding)." during the training HOT 4
- Test with own trained model HOT 1
- About adnet_compile.m HOT 2
- how to train HOT 1
- About test result HOT 2
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