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deepglint
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unicom
MLCD & UNICOM : Large-Scale Visual Representation Model
https://huggingface.co/DeepGlint-AI/mlcd-vit-large-patch14-336
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在`unicom/examples/`的例子中加上`model.eval()`会得到不同的结果
#19
luoshmg
closed
2 weeks ago
0
是否会公开image retrieval finetune代码
#18
jyangliu
closed
12 months ago
2
what is 'cars_annos.mat'?
#17
geshihuazhong
closed
2 weeks ago
0
How much GPU graphics memory is required to run this code？
#16
Deeperfinder
closed
2 weeks ago
0
Training mode
#15
vioanl
opened
1 year ago
1
x= x.cpu() in retrival.py (around line 636)get error with nontype
#14
Chaoran-F
opened
1 year ago
0
Inter-class Prototypes
#13
vioanl
closed
1 year ago
2
Pretrained for ViT-S/14 or ViT-S/16
#12
PD-Mera
opened
1 year ago
5
Bug in CombinedMarginLoss implementation
#11
MaroonAmor
closed
2 weeks ago
2
License?
#10
Parskatt
opened
1 year ago
0
ERROR torchrun retrieval.py --batch_size 1 --dataset cub --epochs 1 --gradient_acc 1 --model_name ViT-B/32
#9
fengminxuan
closed
1 year ago
4
关于数据集制作
#8
KeyaoZhao
opened
1 year ago
3
Substantially more parameters than OpenCLIP, SWAG and Timm's ViT models.
#7
yash0307
closed
2 weeks ago
5
是否会公开完整训练代码？
#6
KeyaoZhao
opened
1 year ago
3
行业内得数据集，是否还要用自己的数据集微调一下呢？
#5
God-song
closed
1 year ago
1
Have you verified the performance of image retrieval on reid datasets?
#4
deep-practice
closed
1 year ago
0
When will you release the model trained on laion2B?
#3
deep-practice
closed
1 year ago
1
Flattened features of VIT
#2
Alir3za97
closed
1 year ago
1
im2rec
#1
ZHUXUHAN
closed
1 year ago
0
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