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27 Open 8 Closed
27 Open 8 Closed
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Issues list

Architecture dimension
#35 opened Apr 1, 2023 by hailuu684
Welcome update to OpenMMLab 2.0
#34 opened Mar 14, 2023 by vansin
Train custom dataset
#33 opened Nov 17, 2022 by arkerman
2
Question about detach
#30 opened Aug 29, 2022 by zen-d
7
Can varifocal loss be applied to softmax classifier?
#28 opened Jul 3, 2022 by Icecream-blue-sky
VarifocalLoss
#27 opened May 27, 2022 by yxx-byte
1
Using MMDet version of VFNet with the lastest backbone (e,g. Poolformer S36, ConvNeXt Small) with Inf Issues on Varifocal loss
#26 opened May 7, 2022 by cydiachen
1
Varifocal Loss for YOLOv5
#25 opened Apr 29, 2022 by lascreia
2
How to reimplement IACS?
#24 opened Mar 1, 2022 by RichardcLee
2
KeyError: 'ATSSVGFLHead is not in the head registry'
#23 opened Feb 17, 2022 by TalentedMUSE
10
where is Star-Shaped Box Feature Representation and Bounding Box Refinement in the code
#21 opened Feb 12, 2022 by leichaowen
2
Do you think the VarifocalLoss could be used for labels with value of 0 & 1 ?
#19 opened Sep 1, 2021 by seekFire
2
VFocalLoss in yolov5
#18 opened Aug 1, 2021 by tangsipeng
3
Some question about the inference
#16 opened May 15, 2021 by Yangr116
4
Questions about reimplementing the experiments in your paper.
#15 opened May 11, 2021 by rainylt
3
Varifocal loss is increasing.
#14 opened Apr 28, 2021 by XuyangBai
2
dist_train.sh unexpectedly hangs after 3-5 epochs
#12 opened Mar 27, 2021 by thomas-ames
3
Load weight mismatch
#11 opened Feb 2, 2021 by CuongNN218
8
dist_train keep waiting
#10 opened Jan 26, 2021 by FX-STAR
4
Gradient Multiplier Question
#9 opened Jan 19, 2021 by PeterVennerstrom
1
Question about Varifocal loss
#8 opened Dec 30, 2020 by HAOCHENYE
7
run demo report error
#6 opened Nov 11, 2020 by gpsherry
9
How to implement on the origin mmdetection
#5 opened Oct 28, 2020 by FibonacciZ
1
dist_train keep waiting with multiple GPUs and samples_per_gpu = 1
#4 opened Oct 8, 2020 by zvadaszi
1
Question about ablation studies in paper
#3 opened Sep 11, 2020 by qin2294096
25
ProTip! Exclude everything labeled bug with -label:bug.