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taoyang1122
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adapt-image-models
[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition
Apache License 2.0
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Test results
#48
Liu-arch
opened
2 months ago
0
model下载问题
#47
Douyi2333
opened
6 months ago
0
I would like to know what testing protocol the 88.9% on Diving48 is based on.
#46
Changwei-Ouyang
opened
9 months ago
0
An error with training on multiple GPUs
#45
wlsrick
opened
10 months ago
1
A Error in the Running the Train Code.
#44
YeungChiu
opened
10 months ago
0
The issue of being unable to continue training with already trained weights.
#43
Xfold-masker
opened
10 months ago
0
Have the authors tried fine-tuning the parameters of the LayerNorm layer with it turned on? If so, what were the results?
#42
Changwei-Ouyang
closed
9 months ago
1
visualizing code
#41
Changwei-Ouyang
closed
9 months ago
0
How to finetune?
#40
smandava98
opened
11 months ago
1
The training set and val set in the Diving48 dataset
#39
Changwei-Ouyang
closed
11 months ago
1
The dimension of vit_clip and vit_imagenet
#38
wlsrick
opened
11 months ago
2
About learning rate setting
#37
hsi-che-lin
closed
11 months ago
1
Weights Initialization
#36
liyi-ff
opened
1 year ago
1
About the performance gap with the released checkpoints
#35
yangbang18
opened
1 year ago
6
Train the ViT in 4 2080Ti
#34
wlsrick
opened
1 year ago
1
Encoding error while loading val data on k400
#33
TJQdoIt9527
closed
1 year ago
1
About hyperparameters setting for reproducing the results
#32
hsi-che-lin
closed
1 year ago
3
Inquiring about the number of views during test time.
#31
Backdrop9019
opened
1 year ago
1
About GPU memory usage
#30
Zhc4zzz
opened
1 year ago
1
It seems that the training memory is not reduced
#29
casillas1111
opened
1 year ago
1
About CLIP-based adapter
#28
kaiw7
opened
1 year ago
1
Training effiency
#27
Fanye12
closed
1 year ago
2
Question about the Custom loss function on Recognition (like ViT model)
#26
andrewwang0612
opened
1 year ago
1
Can't reproduce Something-Somethingv2 training and results
#25
or7r
opened
1 year ago
7
something questions about hyper parameters and experiment results
#24
007invictus
opened
1 year ago
1
About training time.
#23
leexinhao
closed
1 year ago
2
mmaction
#22
dmmSJTU
opened
1 year ago
1
why the second dimension is n*b?
#21
007invictus
closed
1 year ago
4
Did you modify any config when change the frame_len from 8 to 16 or 32?
#20
leexinhao
closed
1 year ago
1
pretrained model
#19
dmmSJTU
opened
1 year ago
7
swin2d_base.py and swin2d_adapter_base.py
#18
XiudingCai
opened
1 year ago
1
Where is the function “init weights” called
#17
xuesongnie
closed
1 year ago
1
T-MSA and S-MSA
#16
chaolistat
closed
1 year ago
3
SSv2 models
#15
or7r
closed
1 year ago
2
How can we freeze the layer?
#14
VoyageWang
closed
1 year ago
2
Could you please share the swin transformer model weights on Kinetics 400?
#13
K0145vin
closed
1 year ago
2
where you load the checkpoint of ViT backbone?
#12
SHIBOYA
closed
1 year ago
2
Maybe you should set `find_unused_parameters=True` in you config file?
#11
leexinhao
closed
1 year ago
4
where is your model?
#10
SHIBOYA
closed
1 year ago
1
Visualization Experiments
#9
laohuijiadezhu
closed
1 year ago
1
在ViT_CLIP 中没有发现冻结层不做训练的代码，请问您这边在哪里做了处理，就是冻结预训练好的bcakbond权重
#8
xiaoyaod
closed
1 year ago
2
Training log available?
#7
simonJJJ
closed
1 year ago
5
About input frames and sampling interval
#6
BinhuiXie
closed
1 year ago
1
Can't reproduce Diving48 training
#5
ahnGeo
closed
1 year ago
1
Do you have pretrained model weights like ViT-S/16 or ViT-S/16？
#4
RayTang88
closed
1 year ago
1
Do you have pretrained model weights like ViT-S/16 or ViT-S/16？
#3
RayTang88
closed
1 year ago
0
Enquiry on the accessibility of SSV2 configs
#2
PeiqinZhuang
closed
1 year ago
1
requirements.txt natplotlib => matplotlib?
#1
HolyDragon57
closed
1 year ago
1