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lxtGH
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CAE
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
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imagenet result of CAE-large model with 800 epochs
#17
russellllaputa
closed
1 year ago
1
The weights after fine-tuning on ImageNet1K
#16
Vickeyhw
opened
1 year ago
1
Downstream Task Object Detection Model
#15
babar41
opened
1 year ago
1
Welcome update to OpenMMLab 2.0
#14
vansin
closed
1 year ago
1
Please provide the semantic_segmentation/_base_/models/upernet_beit.py file
#13
Wenzhao-Xiang
closed
1 year ago
1
Vit-S pretraining ckpt
#12
Vickeyhw
opened
1 year ago
1
Fix
#11
lorenzbaraldi
closed
1 year ago
1
Request for clarification on implementation
#10
lorenzbaraldi
opened
1 year ago
5
Nan loss
#9
LUOBO123LUOBO123
opened
1 year ago
1
Full pretraining ckpt
#8
TinnyFlames
opened
1 year ago
15
torch.distributed.elastic.multiprocessiong.erroes.ChildFailedError:
#7
linglingl635
closed
1 year ago
1
Update README.md
#6
charlesCXK
closed
1 year ago
0
linear probe
#5
lywang76
closed
1 year ago
1
about modeling_finetune.py
#4
lywang76
closed
1 year ago
1
could not download CAE log and model
#3
cylzty110
closed
1 year ago
2
BUG
#2
ross-Hr
closed
2 years ago
5
Will you provide CAE's training logs?
#1
bsxxdw
closed
2 years ago
3