vasgaowei pytorch_MELM issues

vasgaowei / pytorch_MELM

The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection

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Where is the code of proposal clique partition？

#29 zhumeng98 opened 2 years ago
0
myself datasets applied on the MELM

#28 dingjietao opened 2 years ago
0
About corloc

#27 PURE-melo closed 3 years ago
2
So many issues on PyTorch1.0

#26 yarkable opened 3 years ago
4
Pretrained Weight gives worse performance

#25 yoyoleeisstrong opened 3 years ago
3
How to run coco datesets by pytorch_MELM?

#24 jieruyao49 opened 4 years ago
1
RoIRingPoolFunction

#23 b03505036 opened 4 years ago
1
Mainly part rewrite the code

#22 b03505036 closed 4 years ago
1
pytorch 1.0 doesn't work

#21 tankche1 opened 4 years ago
4
In the Github source code you provided，the test experiment is 45.86%.Can you check it again？

#20 Elaineok opened 4 years ago
1
The CorLoc of this code

#19 zwy1996 closed 3 years ago
5
Could this code be trained by multi-GPU？

#18 zwy1996 closed 3 years ago
2
thanks for your job

#17 ltc576935585 closed 4 years ago
0
pool5_roi' referenced before assignment

#16 ltc576935585 opened 4 years ago
3
AssertionError

#15 xr0912 closed 4 years ago
0
comolie wrong

#14 ltc576935585 opened 5 years ago
0
Complie wrong

#13 ltc576935585 opened 5 years ago
1
cudaCheckError() failed : no kernel image is available for execution on the device

#12 kenanozturk closed 5 years ago
4
Are the refine_loss_1 and refine_loss_2 defined according to Accumulated Recurrent Learning?

#11 jiafw opened 5 years ago
3
cross_entropy=0, loss_box=0

#10 Spark001 closed 5 years ago
2
What should I change in your 'network' if I want to test the performance of your model on the other dataset?

#9 magemoumou opened 5 years ago
1
Did you use the ‘gt_bbox’ annotation in your model?

#8 magemoumou closed 5 years ago
2
refined_loss_1 is nan

#7 fanglinpu opened 5 years ago
3
Reproducibility results

#6 zwyyy215 closed 5 years ago
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 nawang0226 opened 5 years ago
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 yjyyy opened 5 years ago
1
AssertionError: size of input tensor and input format are different

#3 magemoumou opened 5 years ago
2
How to get the loss in local min-entropy ?

#2 harrywang725 closed 5 years ago
0
RuntimeError: Invalid magic number; corrupt file?

#1 yjyyy closed 5 years ago
3