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17 Open 12 Closed
17 Open 12 Closed
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Issues list

Where is the code of proposal clique partition？
#29 opened Jul 11, 2022 by zhumeng98
myself datasets applied on the MELM
#28 opened Sep 26, 2021 by dingjietao
So many issues on PyTorch1.0
#26 opened May 3, 2021 by yarkable
4
Pretrained Weight gives worse performance
#25 opened Dec 19, 2020 by yoyoleeisstrong
3
How to run coco datesets by pytorch_MELM?
#24 opened Jun 27, 2020 by jieruyao49
1
RoIRingPoolFunction
#23 opened Apr 30, 2020 by b03505036
1
pytorch 1.0 doesn't work
#21 opened Feb 6, 2020 by tankche1
4
In the Github source code you provided，the test experiment is 45.86%.Can you check it again？
#20 opened Oct 28, 2019 by Elaineok
1
pool5_roi' referenced before assignment
#16 opened Jul 24, 2019 by ltc576935585
3
comolie wrong
#14 opened Jul 2, 2019 by ltc576935585
Complie wrong
#13 opened Jul 1, 2019 by ltc576935585
1
Are the refine_loss_1 and refine_loss_2 defined according to Accumulated Recurrent Learning?
#11 opened Jun 13, 2019 by jiafw
3
What should I change in your 'network' if I want to test the performance of your model on the other dataset?
#9 opened Jun 11, 2019 by magemoumou
1
refined_loss_1 is nan
#7 opened Apr 23, 2019 by fanglinpu
3
File "./MELM-master/tools/../lib/nets/network.py", line 384, in get_refine_supervision roi_weights[:, 0] = max_box_score[gt_assignment, 0] ValueError: could not broadcast input array from shape (761) into shape (500)
#5 opened Apr 5, 2019 by nawang0226
3
pool5_roi = self._roi_ring_pool_layer(net_conv, rois, 0., 1.0) pool5_context = self._roi_ring_pool_layer(net_conv, rois, 1.0, 1.8) pool5_frame = self._roi_ring_pool_layer(net_conv, rois, scale_inner = 1.0 / 1.8, scale_outer = 1.0)
#4 opened Mar 29, 2019 by yjyyy
1
AssertionError: size of input tensor and input format are different
#3 opened Mar 27, 2019 by magemoumou
2
ProTip! Adding no:label will show everything without a label.