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ChristophReich1996
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Swin-Transformer-V2
PyTorch reimplementation of the paper "Swin Transformer V2: Scaling Up Capacity and Resolution" [CVPR 2022].
https://arxiv.org/abs/2111.09883
MIT License
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Droping Bias in DeformableSwinBlock
#15
Matagi1996
opened
6 months ago
0
3D segmentation
#14
RRouhi
closed
9 months ago
2
Thank you very much for your code, it is concise and easy to read, and I would like to ask you a few more questions
#13
lizhenye2017
opened
2 years ago
0
How to use for SSL or classifier?
#12
sarmientoj24
closed
2 years ago
1
Using Swin-Transformer V2 as backbone for YOLO
#11
sarmientoj24
closed
2 years ago
1
大佬，您能导入窗口为16的预训练权重吗
#10
LUO77123
closed
2 years ago
1
About Checkpoints
#9
WY-2022
closed
2 years ago
1
How do I get it to work at 512*640 resolution?
#8
WY-2022
closed
2 years ago
4
relative_coordinates_log
#7
yg2024
closed
2 years ago
1
Training and inference implementation of Swin v.2 for oject detection task
#6
queman
closed
2 years ago
2
is cosin attention?
#5
Jx-Tan
closed
2 years ago
0
problem about DeformableSwinTransformerBlock
#4
nullxjx
closed
2 years ago
14
Problems encountered
#3
Breeze-Zero
closed
2 years ago
1
Some questions about model changes
#2
Breeze-Zero
closed
2 years ago
0
Scaled cosine attention error
#1
YeolJ00
closed
2 years ago
1