Comments (4)
Could you please show me some detailed results?
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Thanks for rely.
i list my final results below, it was captured from the 17 epoch. By the way, i didn't change the configrations in anet_c3d_pdvc.yml and anet_i3dvgg_pdvc.yml in the training procedure.
Validation results of iter 165006: Bleu_1:0.14397184343673516 Bleu_2:0.07563979885710821 Bleu_3:0.03841529336432101 Bleu_4:0.018592074153146686 METEOR:0.07360392698576934 ROUGE_L:0.14248773409982254 CIDEr:0.2695501870140006 Recall:0.49363335351742516 Precision:0.5138465188800716 soda_c:0.05815482000571441 para_Bleu_1:0.4600347481728046 para_Bleu_2:0.2734444234216087 para_Bleu_3:0.16531830682605833 para_Bleu_4:0.10265513451045642 para_METEOR:0.14629477337476632 para_ROUGE_L:0.28967922834328586 para_CIDEr:0.17420500091591917
overall score of iter 165006: 0.13175874699148377
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The results are normal since all scores you mentioned above are based on incomplete validation videos (~4483 out of 4917). Around 434 videos got a METEOR of 0.
The METEOR on 4483 videos is 7.36039 * 4917/4483 = ~8.07
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Thanks for your guidance. You wrote about this issue in the paper, but I ignored it. I realized this problem after you reminded me.
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Related Issues (20)
- Few questions about training HOT 7
- A question about object detection HOT 3
- NameError: name 'MSDA' is not defined HOT 1
- questions about counter_class_rate HOT 1
- About evaluation indicators HOT 5
- 关于实验结果的问题
- 评估过程失败,npy文件不存在。 HOT 3
- Question about the result difference of video paragraph captioning HOT 7
- 关于实验结果 HOT 5
- Some questions regarding the dataset HOT 2
- Running PDVC on Your Own Videos
- 关于 MultiScaleDeformableAttention 的问题 HOT 1
- A question about demo video HOT 2
- Ablation study of auxiliary losses? HOT 1
- Does the code support multi-gpu training? HOT 1
- 用自己训练的C3D模型进行测试,错误
- Issue on inference HOT 1
- 为什么测试集的loss几乎不变?
- the video is shown with a white screen.
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