Comments (2)
Sorry for the late reply!
Please refer to the statement in Sec. 5.4, Three Streams. The result is achieved by keeping one stream in P each time. Therefore, to reproduce our reported result, you should keep the three items in self.predictions
(they belong to C, thus shouldn't be removed for ablation study), while modify self.binary_discriminator
to keep fc7_H
and fc7_SH
for human only, keep fc7_O
and fc7_SO
for object only, and keep fc_binary_1
for spatial only, then retrain the whole model, finally perform inference with the correspondingly retrained model.
from transferable-interactiveness-network.
I got it. The ablation study is conducted on P.
Thanks for your answer. It really helps.
from transferable-interactiveness-network.
Related Issues (20)
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- raceback (most recent call last): │ File "tools/Vcoco_lis_nis.py", line 304, in <module> │ generate_result = generate_pkl(mode, test_D, test_result, prior_mask, Action_dic_inv, (6, 6, 7, 0), args.prior_flag) │ File "tools/Vcoco_lis_nis.py", line 145, in generate_pkl │ score_binary_d = np.array(dic_d['binary_score']) │KeyError: 'binary_score'
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from transferable-interactiveness-network.