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SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
https://arxiv.org/abs/2301.03580
MIT License
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Training with SparseBathNorm not giving any result
#93
HarshitSheoran
opened
14 hours ago
0
where is the requirements.txt?
#92
Lee1025-cpu
opened
1 day ago
0
Hierarchical parameter of custom models' forward method
#91
jan-fathomx
opened
1 week ago
0
Wrose generated image compare to Convnextv2
#90
powermano
opened
1 month ago
0
Can you supply some training logs
#89
powermano
opened
1 month ago
0
Docker + smaller ConvNeXt-V2 models
#88
MarkoHaralovic
opened
1 month ago
0
_cur_active
#87
LeeHaoRanRan
closed
2 months ago
0
dist
#86
LeeHaoRanRan
closed
2 months ago
0
Training Efficiency
#85
LM986
opened
2 months ago
0
The versions of mmdet and mmcv?
#84
shuuchen
opened
6 months ago
0
Necessity of Mask Tokens
#83
TaWald
opened
7 months ago
0
Increasing batch size
#82
knightron0
opened
9 months ago
1
ConvNext implementation performance
#81
ds2268
closed
9 months ago
4
SparK ResNet and global feature interaction
#80
csvance
opened
9 months ago
8
A Code Issue About “pretrain/main.py”
#79
lynnz7
closed
10 months ago
2
SparseBatchNorm2d can not mask correctly ?
#78
FengheTan9
closed
8 months ago
3
Can SparK be used for few-shot learning?
#77
Y-T-G
closed
10 months ago
2
recommend a great library designed for sparse tensors
#76
xubin04
closed
8 months ago
1
ConvNext B for reconstruct images
#75
M-SunRise
closed
8 months ago
3
How to transfer this method to 3D situation.
#74
xubin04
closed
8 months ago
1
About sparse convolution
#73
Itsanewday
closed
10 months ago
4
Resuming ImageNet fine-tuning
#72
ds2268
closed
8 months ago
2
SparK for semantic segmentation
#71
simonebonato
closed
8 months ago
3
there is no requirements.txt file.
#70
mandal4
closed
11 months ago
1
ImageNet finetuning exploding
#69
ds2268
opened
11 months ago
10
Are there any plans to make a port to tensorflow and Keras?
#68
noahcjones
closed
8 months ago
1
Tutorial for finetune on my own dataset
#67
WeiCL7777
closed
11 months ago
1
reducing pre-training to 200 epochs
#66
bollossom
closed
1 year ago
9
对比convnextv2
#65
leoxxxxxD
closed
1 year ago
1
Target dataset and augmentation
#64
LiYuhangUSTC
closed
11 months ago
2
There is no activation after the 2nd Conv in each decoder block
#63
JiamingJiao
closed
1 year ago
1
infer问题
#62
Shlre
closed
1 year ago
3
Spark.forward
#61
ricklisz
closed
1 year ago
1
Can not load the pretrained convnext_small model
#60
lyangfan
closed
1 year ago
2
小模型自监督效果
#59
leoxxxxxD
closed
1 year ago
11
Unexpected key(s) in state_dict: "arch", "module", "is_pretrain".
#58
Chole0529
closed
1 year ago
2
迁移到医学图像分割任务上性能 gap 好大
#57
David-19940718
closed
1 year ago
2
does this code work with CNN with groupnorm?
#56
yxchng
closed
1 year ago
1
Using 3D convolution
#55
chinmay5
closed
1 year ago
2
How to deal with the conv in SE module?
#54
RainFrost1
closed
1 year ago
4
想问一下这个loss训练到什么数量级才可以拿去做预训练权重
#53
heng3366
closed
1 year ago
1
Finetuning epochs
#52
ds2268
closed
1 year ago
2
Self-supervised training time is too long compared to MAE
#50
HIT-SIRS
closed
1 year ago
4
稀疏卷积问题
#49
MENG1996
closed
1 year ago
1
训练问题
#48
Wuqiman
closed
1 year ago
1
Contrastive learning methods performance in paper
#47
Vickeyhw
closed
1 year ago
1
Modified to 3D network
#46
XIANYUNYEHE-DEL
closed
1 year ago
1
fatal: not a git repository (or any parent up to mount point /)
#45
Moreland-cas
closed
1 year ago
1
Pretraining with my own dataset
#44
alskdjfasdfsadf
closed
1 year ago
3
How do you adjust lr and wd?
#43
pengcheng93
closed
1 year ago
1
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