kracwarlock action-recognition-visual-attention issues

kracwarlock / action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

http://www.cs.toronto.edu/~shikhar/projects/action-recognition-attention

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I'm new to this task. Could I know that how many frame are feed in testing time?

#21 guotong1988 opened 6 years ago
0
Can anyone share the code mentioned in the closed issue #6 which is used to combine features to h5 format?

#20 YinRui1991 closed 6 years ago
3
Python Scripts for CNN Encoding Generation

#19 345ishaan closed 7 years ago
1
Possible bug on data_handler : Reset()

#18 noky opened 7 years ago
0
How to get the h5 features file，how to create h5 features file

#17 arcxianzhang opened 7 years ago
0
Your time for one 128-batch?

#16 thanhnguyentang closed 7 years ago
5
How to get the dataset?

#15 cumtwb closed 7 years ago
2
Multi-layer LSTM

#14 pmorerio opened 7 years ago
0
Results reproducibility

#13 jacopocavazza opened 7 years ago
3
Location softmax

#12 pmorerio opened 7 years ago
4
ucf11 evaluation problem

#11 ae86208 opened 8 years ago
1
some question about the input and output of the LSTM

#10 Ouya-Bytes closed 8 years ago
2
Possible redundant code in actrec_mAP.py

#9 nixingyang closed 8 years ago
1
Enquiries regarding Data Preprocessing

#8 nixingyang closed 8 years ago
1
How the soft attention model be implemented in this project?

#7 kyuusaku closed 8 years ago
1
Can you elaborate how to do data preprocessing?

#6 YantianZha closed 8 years ago
23
1

#5 YantianZha closed 8 years ago
0
Best model selection

#4 frajem closed 8 years ago
1
Initialization of LSTM layers

#3 xlliu7 opened 8 years ago
21
Input data

#2 frajem closed 8 years ago
10
How to get the h5 features file

#1 DnnnW closed 8 years ago
3