Comments (4)
dvornikita
commented on July 24, 2024
Hi, I don't understand what result you mean. Can you clarify?
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commented on July 24, 2024
Thanks for your reply. I mean the coco 2015 test-dev results of the model just use detection annotations to train, without using any segmentation annotations.
Best
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dvornikita
commented on July 24, 2024
In table 5 of the original paper, we report gains in accuracy with joint training on COCO minival2014. Since the performance of the model trained on a single task only is not the purpose of our work we don't report it on the test set.
However, if you are interested, you can obtain these results using the code in this repo.
Best
from blitznet.
commented on July 24, 2024
oh, yes, thanks for your reply again.
Best,
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Related Issues (20)
- python demo.py --run_name=BlitzNet300_COCO+VOC07+12 --x4 --detect --segment --eval_min_conf=0.5 --ckpt=1 HOT 7
- files = glob(osp.join(self.folder, '*{}'.format(self.data_format))) HOT 1
- tensorflow.python.framework.errors_impl.NotFoundError: /home/cbl/PycharmProjects/blitznet-master/Datasets/voc07-trainval-segmentation; No such file or directory HOT 1
- python training.py --run_name=BlitzNet300_x4_VOC0712_detseg --dataset=voc07+12-segmentation --trunk=resnet50 --x4 --batch_size=32 --optimizer=adam --detect --segment --max_iterations=65000 --lr_decay 40000 50000 HOT 1
- without Preparation3 ,can I train ? HOT 2
- ModuleNotFoundError: No module named 'progressbar' HOT 1
- 1a
- true_number_of_negatives calculation HOT 4
- About the arguments in class feed_forward HOT 1
- Model download HOT 2
- Demo results HOT 2
- Test on MS COCO dataset based on trained checkpoint HOT 3
- Some illogical problems occurred during the detection process.
- How to train on cityscapes? HOT 2
- How to calculate each class of IoUοΌ HOT 4
- About MIoU result HOT 1
- Where is the deconvolution layers?
- Is there any other hidden settings or tricks for training HOT 4
- Pre-trained model and the interface HOT 1
- Download the pre-trained model
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