Comments (5)
@ordinarycore my results are as follows. Can you share yours.
from var.
{
"observed": {
"Bleu_1": [
0.2503820488831265
],
"Bleu_2": [
0.1314744051225057
],
"Bleu_3": [
0.07295467938248024
],
"Bleu_4": [
0.04618306165717258
],
"METEOR": [
0.10662962550579554
],
"ROUGE_L": [
0.24641933236139163
],
"CIDEr": [
0.34973493278085094
]
},
"hypothesis": {
"Bleu_1": [
0.2598156230059454
],
"Bleu_2": [
0.13651595121270682
],
"Bleu_3": [
0.07889156806042286
],
"Bleu_4": [
0.05187654022798021
],
"METEOR": [
0.1079388281077964
],
"ROUGE_L": [
0.24640443590073993
],
"CIDEr": [
0.37681978484812273
]
}
}
However, CIDEr of Hypothesis is much worse than that of observed.
from var.
The results on CIDEr are lower. My sever is 3090 with ubuntu 18.
from var.
Hi, all,
One of my results is as below:
[Separate Observed] METEOR 10.66 Bleu@4 4.57 CIDEr 35.61 ROUGE_L 24.18 BERT_S 33.76
[Separate Hypothesis] METEOR 10.76 Bleu@4 5.19 CIDEr 37.25 ROUGE_L 24.48 BERT_S 33.21
Intuitively, the observed events should have higher performance. why do I also get the inverse result?
my GPU is one V100 card.
@leonnnop Dear Author, sorry for bothering you. Do you have any suggestions?
Best to all.
from var.
The results on CIDEr are lower. My sever is 3090 with ubuntu 18.
Hello, I would like to know how to use the test set for testing. Should I directly change the parameters evaluate_mode to test or do I need to write a separate py file
from var.
Related Issues (10)
- When will the training code and pre-trained model be released? HOT 2
- A question about temporal overlapping between events. HOT 2
- Some data in training dataset seems weird. HOT 2
- How to run on RTX3090 with rpe? HOT 2
- The raw videos HOT 3
- Some datas are wired. HOT 2
- Can't download the pre-extracted features in Onedrive HOT 4
- 找不到哪里测试和哪里加载训练出来的模型
- 您好,请问一下ICCV2023的LogicDiag什么时候可以开源呀
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