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SePiCo
[TPAMI 2023 ESI Highly Cited Paper] SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2204.08808
https://arxiv.org/abs/2204.08808
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Could you point out where is the code for saving model parameters in the sepico repository? So that I can resume training from breakpoints?
#24
ZHE-SAPI
closed
2 weeks ago
1
if Lreg < 0?
#23
TongkunGuan
closed
10 months ago
0
Installation error
#22
geek-APTX4869
opened
11 months ago
0
About Performance
#21
yuyuan2
opened
1 year ago
0
Q: Effect of multi-level features.
#20
msseibel
closed
12 months ago
1
training time
#19
TianX1nYu
closed
1 year ago
2
Question about running logit of the uda
#18
QChhh123
closed
1 year ago
2
如果打算像你们那样,给自定义的损失函数传入mask和feat,该如何在mmseg框架下更改?
#17
QChhh123
closed
1 year ago
5
多卡训练问题
#16
wzr0108
closed
1 year ago
1
UDADataset的__getitem__问题
#15
wzr0108
closed
1 year ago
1
About Cityscapes-->DarkZurich
#14
XiaRho
closed
1 year ago
2
AssertionError: Parameter `mean` required
#13
1994crazyboy
closed
1 year ago
3
训练的时候使用mmsegmentation的tools/train.py可以吗?
#12
wzr0108
closed
1 year ago
3
about performance
#11
Renp1ngs
closed
1 year ago
4
About reproducing the results in Synthia to Cityscape dataset
#10
kagawa588
closed
1 year ago
1
Replicating the results
#9
NazaninMn
closed
1 year ago
2
Something about mIoU performance
#8
wanderHZ
closed
1 year ago
3
About Synthia-Cityscapes dataset
#7
kagawa588
closed
1 year ago
2
Code
#6
ZT-Tinrry
closed
1 year ago
1
When release the code?
#5
gaowq2017
closed
1 year ago
3
代码开放
#4
wwei247
closed
1 year ago
1
Code
#3
shahaf1313
closed
1 year ago
2
代码开放
#2
creater-zq
closed
1 year ago
1
Why 640x640 for training and 1280x640 for testing?
#1
Haochen-Wang409
closed
2 years ago
4