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amazon-science
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omni-detr
PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089
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The role of the 'indicators' ?
#16
nhw649
opened
11 months ago
2
some questions about batchsize.
#15
nhw649
closed
9 months ago
0
Inference and Visualisation
#14
chakrabortyrajatsubhra
opened
12 months ago
0
about the ratio of full and omni label
#13
lo202ng
closed
1 year ago
0
code of forward propagation is incorrect
#12
wwwbq
opened
1 year ago
1
Why do we need to add tensor_label_k as input during SSOD？
#11
becauseofAI
opened
1 year ago
1
CUDA out of memory after BURN_IN_STEP
#10
becauseofAI
opened
1 year ago
2
pretrained weights
#9
Joker316701882
opened
1 year ago
0
BURN_IN_STEP
#8
SayBender
opened
2 years ago
1
Confusion about unlabeled data
#7
SayBender
opened
2 years ago
4
Is segmentation required?
#6
SayBender
opened
2 years ago
1
Which model should I use after training, the teacher or the student?
#5
1224wxwx
closed
2 years ago
2
Custom Dataset
#4
SayBender
opened
2 years ago
0
How many epochs do I need to train in SSOD mode
#3
1224wxwx
closed
2 years ago
4
question about getting VOC20072012trainval dataset
#2
michaelku1
closed
2 years ago
3
fixed some bugs
#1
peiwang062
opened
2 years ago
0