sgvaze/osr_closed_set_all_you_need
Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"
PythonMIT
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#27 opened by JianhuaSu - 0
the difference between MSP and MLS in code
#26 opened by JJy764 - 1
About training results
#24 opened by haoweiz23 - 0
Can the trained weights be provided?
#25 opened by zjysteven - 1
- 1
missing license info
#21 opened by mmalmir - 2
more dataset message
#20 opened by nazimii - 1
OpenHybrid
#19 opened by choidami - 1
ResnetABN key matching error
#17 opened by JaeLee18 - 1
- 2
Training cub dataset low accuracy
#16 opened by JaeLee18 - 3
- 3
pretrained model don't match
#14 opened by LP308210365 - 4
about checkpoint
#11 opened by Hrren - 7
Clarification on ImageNet-21K
#12 opened by zjysteven - 1
Questions about the ensembling
#13 opened by Cogito2012 - 2
Any plans to include Imagenet?
#9 opened by agaldran - 1
- 4
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How to classify a sample as unknown?
#5 opened by FunnyDragonK - 2
Reproducing results
#6 opened by agaldran - 1
Random Augment M & N
#4 opened by DevD1092 - 1
Running pretrained configuration
#3 opened by NivC - 1
- 1
where is the paper
#1 opened by senlin-ali