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cvlab-stonybrook
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DM-Count
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
MIT License
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Demo URL
#36
oracle0101
opened
10 months ago
0
hyperparameters
#35
bsabri
opened
1 year ago
0
多卡训练
#34
1171000410
opened
1 year ago
0
Questions about the prediction effect of different objects
#33
yishun-Liu
opened
1 year ago
0
I'm trying to test your model on a picture and getting too small number
#32
ofersa
opened
1 year ago
0
shanghaitech_b evaluation
#31
adrian-dalessandro
opened
2 years ago
0
Add docker env and web demo
#30
vccheng2001
opened
2 years ago
0
About the ot_loss why optimizing the dual term's derivate instead of the OT distance ?
#29
Lynyanyu
opened
2 years ago
1
About the min_size, max_size in the preprocess
#28
zhou-rui1
opened
2 years ago
1
A bug occurred while running train.py
#27
yysube
opened
2 years ago
1
Use of dm-count on less dense smaller images
#26
samymdihi
opened
3 years ago
3
How to reduce the big experiment randomness?
#25
jingliang95
opened
3 years ago
3
Telling you preprocess of Shanghai Tech Part A and Part B
#24
12z34x
opened
3 years ago
0
Confusing Definition of the OT Loss
#23
Yiming-M
closed
2 years ago
0
Dataloader for UCF-CC-50
#22
jingliang95
opened
3 years ago
4
excellent work
#21
purse1996
opened
3 years ago
3
Regarding hyperparameters for training on UCF-QNRF dataset
#20
svshivapuja
closed
3 years ago
2
That's correct. \labmda_1 is for OT loss, \labmda_2 is for TV loss.
#19
hdasd
closed
3 years ago
1
some questions about training
#18
hdasd
closed
3 years ago
2
Is OT loss only applicable while training is implemented on square images
#17
Xinxinatg
closed
3 years ago
3
The OT loss is too small.Dose it work?
#16
hhk123
closed
3 years ago
1
Why not use more advanced backbone
#15
hhk123
closed
3 years ago
3
fast create discrete map
#14
Zhaoyi-Yan
closed
3 years ago
1
it seems 'adding -1' is more accurate for flipping
#13
Zhaoyi-Yan
closed
3 years ago
2
about density map
#12
KrystalCWT
closed
3 years ago
1
delete useless st_size and softmax
#11
Zhaoyi-Yan
closed
3 years ago
0
Influence of data preprocessing on model performance
#10
Fang-Lansheng
closed
3 years ago
4
Created a Web Demo using Gradio
#9
aliabd
closed
3 years ago
2
I had an error loading your pre-training model
#7
liang-jingyi
closed
3 years ago
3
Getting arguments by file and some refactoring
#6
selmanozleyen
closed
3 years ago
0
About density map
#5
simaiden
closed
3 years ago
2
about demo
#4
wjourney
closed
3 years ago
1
model.eval() when testing
#3
enric1994
closed
3 years ago
1
train with Shanghai Tech Part A and Part B dataset
#2
18150167970
closed
3 years ago
10
When will the training code release?
#1
dk-liang
closed
4 years ago
2