Comments (4)
Cadene
commented on May 20, 2024
@greathope As far as I remember, we got those results on the testset (with our old Torch7 code, but you should get the same results with this code in pytorch):
Overall Accuracy is: 64.77
Per Answer Type Accuracy is the following:
other : 54.47
number : 38.43
yes/no : 83.81
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greathope
commented on May 20, 2024
@Cadene with trainval datasets? Actually I got 65.42...
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Cadene
commented on May 20, 2024
That's good news, isn't it?
It might be related to this little change in architecture: #18
What do you think? @greathope
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eustcPL
commented on May 20, 2024
@Cadene how about: vqav1.0 python train.py --vqa_trainsplit trainval --path_opt options/vqa/mlb_att_trainval.yaml, what accuracy did you acheived?
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Related Issues (20)
- Reproduce the problem using fusion scheme of concatenation HOT 2
- Hi cadene,why i get this error when i use demo? HOT 1
- iteration over a 0-d tensor when trying to run the demo HOT 7
- Hi, Cadene, why don't you update the feature extractor when training? HOT 1
- No learning rate decay? HOT 1
- 'OpenEnded_mscoco_val2014_model_accuracy.json' is not created HOT 2
- Left padding when encoding questions
- Batch first in LSTM
- Why don't you apply a softmax function before the final prediction? HOT 2
- The Link doesn't work: MutanNoAtt trained on the VQA 1.0 trainset HOT 1
- Results on test split
- LSTM avaliable?
- How to process the multiple choice answer HOT 1
- Feature extraction: CUDA out of memory HOT 1
- THCudaCheck FAIL file=/opt/conda/conda-bld/pytorch_1513368888240/work/torch/lib/THC/generic/THCStorage.c line=82 error=2 : out of memory
- FileNotFoundError: [Errno 2] No such file or directory: 'data/vqa2/raw/annotations/mscoco_train2014_annotations.json' HOT 1
- How did you create the attention maps in your readme? HOT 7
- sysntax error in line 80 HOT 1
- What should be the size of the input_question in engine.py ? HOT 2
- default vqa2/mutan_att_train example (also for demo) is messed
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