Comments (2)
Hello @aliman80 the classification results are computed using the classifier.py code which is uploaded in the reposistory. For the detection results, I used the code uploaded here : https://github.com/nasir6/zero_shot_detection.
For testing it seperately as it is mentioned in the paper CLF is a combination of ALF and FLF. The results of both the modules can be reproduced from the repository by making changes to the codebase. Please check the arguments early fusion and Late fusion mentioned in the config file for the same.
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Hello @aliman80 the classification results are computed using the classifier.py code which is uploaded in the reposistory. For the detection results, I used the code uploaded here : https://github.com/nasir6/zero_shot_detection. For testing it seperately as it is mentioned in the paper CLF is a combination of ALF and FLF. The results of both the modules can be reproduced from the repository by making changes to the codebase. Please check the arguments early fusion and Late fusion mentioned in the config file for the same.
Thank you very much for your reply, i believe my questions are too naive for your expertise level but thanks alot.
Now i am just wondering why my results are in the range of mAP zsl 6.7 and GZSL 21-22. Thanks alot
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Related Issues (16)
- Evaluation File HOT 11
- nus_zsl_test_vgg19.h5 vs s,nus_gzsl_test_vgg19.h5_features
- DataLoading CPU Hangs
- NUS_WIDE_pretrained_w2v_glove-wiki-gigaword-300 HOT 2
- Why does memory keep increasing during training? HOT 10
- Production of qualitative results HOT 4
- Urgent Query Regarding datasets
- About nus-wide dataset
- Links for downloading datasets, NUS_WIDE and OPENIMage HOT 2
- Memory problem HOT 4
- get_extract_data not defined HOT 3
- Google drive link not working HOT 1
- Training using NUS-WIDE dataset:gdrive not accessible HOT 2
- How much gpu memory does it costs? HOT 1
- dataset issue HOT 5
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