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eql.detectron2
The official implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2. https://arxiv.org/abs/2003.05176
Apache License 2.0
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Bump pillow from 6.2.2 to 10.0.1 in /docs
#22
dependabot[bot]
opened
12 months ago
0
Bump pillow from 6.2.2 to 9.3.0 in /docs
#21
dependabot[bot]
closed
12 months ago
1
Bump pillow from 6.2.2 to 9.0.1 in /docs
#20
dependabot[bot]
closed
1 year ago
1
Bump pillow from 6.2.2 to 9.0.0 in /docs
#19
dependabot[bot]
closed
2 years ago
1
Bump pillow from 6.2.2 to 8.3.2 in /docs
#18
dependabot[bot]
closed
2 years ago
1
Bump pillow from 6.2.2 to 8.2.0 in /docs
#17
dependabot[bot]
closed
3 years ago
1
Bump pillow from 6.2.2 to 8.1.1 in /docs
#16
dependabot[bot]
closed
3 years ago
1
EQL Loss for image classification
#15
CuongNN218
closed
3 years ago
1
CUDA image is not available
#14
xinqiaozhao
closed
3 years ago
0
Please read & provide the following
#13
xinqiaozhao
closed
3 years ago
0
How to apply the EQL in object detection method such as RetinaNet?
#12
handsomefengfeng
opened
3 years ago
1
How to get caffe model and apply into your code?
#11
Chauncy-Cai
closed
3 years ago
1
How to reproduce results on R-50-C4 and R-101-C4 in your paper?
#10
U-Help
opened
3 years ago
0
How to implement Softmax equalization loss
#9
Yi-Qi638
closed
3 years ago
4
How to reproduce the results in your paper?
#8
z-x-yang
closed
4 years ago
2
Image category frequency for the case of LVIS dataset
#7
aniket-agarwal1999
closed
4 years ago
0
Do you have the SEQL implementation?
#6
amirhfarzaneh
closed
4 years ago
1
分类
#5
zhanghongruiupup
opened
4 years ago
1
Implementation Details
#4
valencebond
closed
4 years ago
1
Gradient analysis
#3
Lilyo
closed
4 years ago
4
Questions regarding the influence of background classes
#2
TonyLianLong
closed
4 years ago
2
Further explanation
#1
ghost
closed
4 years ago
0