Implementation difference with the published paper about collaborative-learning-for-weakly-supervised-object-detection HOT 1 OPEN

Hi，thanks for your issue. In our paper, We find the results from Max-out Strategy give the best performances, but we also tried top 5~50 max proposals for experiments. We also tried The bootstrap_cross_entropy method for hard or soft as seen in the codes, but two methods have little differences at model testing time.
For reproducing our results as attached here, you can try to adjust pre_nms_topN to 1 , but the inferior results may come from the other machine problems.

from collaborative-learning-for-weakly-supervised-object-detection.