MLAD

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Thanks!

AcodeC

get a lower fmap

5

hi, thanks for sharing your code. I validate the model you provided on multithumos and get 'mAP: 0.492592', it is lower than your paper. And I tried to train with...

mangoooooooo

Could you share the I3D features of charades

1

Thank you

568937537

Hi, thanks for your code! I searched with keyword 'train_mode' by the definition of `parser.add_argument('--train_mode', type=str, required=True, help='Specify the training mode.', choices=["fixed", "variable"]) ` But I cannot find the code...

Tristan-J

Thanks!

Tristan-J

Hi Praveen, MLAD is a very inspiring work to me. I saw in dataloader.py that the `collated_fn` outputs clip features of varied lengths. But I haven't seen how MLAD handle...

Tristan-J