Specific parameter setting when training on activityNet v1.2

[zronly]

Hi, I trained your pytorch code on activityNet v1.2 dataset. But I can only get the results as follows.
[email protected]= 47, [email protected]= 44, [email protected]=40, [email protected]=37, [email protected]= 33....it is much lower than what you posted. I think there's something wrong with the parameters. Can you share the specfic paramaters when training on activitNetv1.2 ? I would appreciate it very much if I could receive your reply.

[HumamAlwassel]

@zronly how were you able to get the results you cited? I'm trying to do the same from my end, but I get mAP @ IoU=0.5 that's extremely low (less than 1%). The classification mAP reaches +90%.

I'm running the ActivityNet1.2 experiment with the following settings:
python main.py --dataset-name ActivityNet1.2 --num-class 100 --model-name AN1.2_reprduce
I edited the smooth() function in detectionMAP.py to include the savgol_filter() call. I have played around with the threshold, but the detection mAP is still extremely low.

[sujoyp]

Please refer to this: #7
Also need to use savgol_filter as @HumamAlwassel mentioned.

[zronly]

Please refer to this: #7
Also need to use savgol_filter as @HumamAlwassel mentioned.
Yes, i have used the same setting as what you said, but i find the CASLOSS is not work when training the activitynet1.2 , because when the casloss goes down, the accuracy also goes down. Is this caused by batch size? or learning rate?

[simpler66]

@zronly i have test the results on ＡctivitＮet1.2, and get the same results as yours mAP＠0.5=33.5, if you have got the results posted in paper, please let me know.
I run experiments on ActivityNet1.2 with the following settings:
python main.py --dataset-name ActivityNet1.2 --num-class 100
I do not change any other parameters in options.py provided by author used for training thumos14.
@sujoyp I will be really appreciate if you could offer the option.py used for ActivityNet

[zronly]

@zronly i have test the results on ＡctivitＮet1.2, and get the same results as yours mAP＠0.5=33.5, if you have got the results posted in paper, please let me know.
I run experiments on ActivityNet1.2 with the following settings:
python main.py --dataset-name ActivityNet1.2 --num-class 100
I do not change any other parameters in options.py provided by author used for training thumos14.
@sujoyp I will be really appreciate if you could offer the option.py used for ActivityNet

the casloss don't work when training on ActivityNet1.2, i am not sure if it has anything to do with parameters.