Comments (3)
yuzcccc
commented on June 27, 2024
see the make_answer_vocab function in the train_* script.
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haibin894609937
commented on June 27, 2024
感谢您的回复，Multichoice 和Openended的预处理方式一样的吗，只是在生成答案的时候有所区别
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yuzcccc
commented on June 27, 2024
The procedure for the MC and OE task are the same. The only difference is the evaluation metric. If you want to generate the result json file for the MC task, you can use the eval/ensemble.py and input the MC task's ques_file. You can find the detailed information in this script
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Related Issues (12)
- A issue about dataset of VQA2 on preprocessing. HOT 1
- Get feature through Trained with resnet 152 as backbone?
- Get the feature trained with faster rcnn and backbone resnet152?
- error on building caffe HOT 1
- FRCN Image features generation HOT 2
- Question about dataset HOT 7
- pretrained model of MFH+RCN? HOT 2
- Resuming training from last iteration HOT 1
- The training process is much more time-consuming than other VQA systems. HOT 1
- Question about MFB Baseline
- Cannot re-implement result of MFH (FRCN img features) on COCO-VQA v2.0 HOT 1
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