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How many iterations have you run? could you please share your hyper-parameters?

It is overfitting right now. Is your training loss getting closer to 0? How do you choose the number of iterations before your fine tuning for different dataset?

Thank you for the reply. In the training process of the original authors' code, for the encoder LSTM, they feed this batch fc7_frame_feature of size (1000, 32, 4096). Within the...

Hi, Thank you for the reply. Sorry I should have mentioned the code I was talking about is: https://github.com/vsubhashini/caffe/blob/recurrent/examples/s2vt/framefc7_stream_text_to_hdf5_data.py if shuffle: random.shuffle(self.lines) In this, they shuffled each frames, which seems...

Hi, Thank you for the reply! Have you got reasonable results after training the model for 16k iterations? I tested this model with the s2vt_captioner.py ( https://github.com/vsubhashini/caffe/blob/recurrent/examples/s2vt/s2vt_captioner.py) and it is...

Hi, Thanks for your reply. Now I found the bug and the captions I got look OK now. But I only get the METEOR of 0.246. Have you managed to...

ok, it is 0.272 when I use the iteration_16000, but still not quite 0.292 On 17 February 2017 at 08:16, Ruomei Yan wrote: > Hi, > Thanks for your reply....

Hi, 'Do you use the same number of training dataset, validation dataset and testing dataset as the S. Venugopalan et al.?' ---- I did split the dataset according to what...

Hi, I have been trying to get the exact number as what is reported in Table 2 the RGB(VGG) as 29.2, but it is very difficult to get there... then...

Hi, I'm not quite sure whether the author did use extra data but without them I got the same result as table 1 in Li Yao's paper. Do you think...