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# PyTorch-Encoding
created by [Hang Zhang](http://hangzh.com/)
## [Documentation](http://hangzh.com/PyTorch-Encoding/)
- Please visit the [**Docs**](http://hangzh.com/PyTorch-Encoding/) for detail instructions of installation and usage.
- Please visit the [link](http://hangzh.com/PyTorch-Encoding/model_zoo/imagenet.html) to image classification models.
- Please visit the [link](http://hangzh.com/PyTorch-Encoding/model_zoo/segmentation.html) to semantic segmentation models.
## Citations
**ResNeSt: Split-Attention Networks** [[arXiv]]()
[Hang Zhang](http://hangzh.com/), Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Muller, R. Manmatha, Mu Li and Alex Smola
```
@article{zhang2020resnest,
title={ResNeSt: Split-Attention Networks},
author={Zhang, Hang and Wu, Chongruo and Zhang, Zhongyue and Zhu, Yi and Zhang, Zhi and Lin, Haibin and Sun, Yue and He, Tong and Muller, Jonas and Manmatha, R. and Li, Mu and Smola, Alexander},
journal={arXiv preprint},
year={2020}
}
```
**Context Encoding for Semantic Segmentation** [[arXiv]](https://arxiv.org/pdf/1803.08904.pdf)
[Hang Zhang](http://hangzh.com/), [Kristin Dana](http://eceweb1.rutgers.edu/vision/dana.html), [Jianping Shi](http://shijianping.me/), [Zhongyue Zhang](http://zhongyuezhang.com/), [Xiaogang Wang](http://www.ee.cuhk.edu.hk/~xgwang/), [Ambrish Tyagi](https://scholar.google.com/citations?user=GaSWCoUAAAAJ&hl=en), [Amit Agrawal](http://www.amitkagrawal.com/)
```
@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Hang and Dana, Kristin and Shi, Jianping and Zhang, Zhongyue and Wang, Xiaogang and Tyagi, Ambrish and Agrawal, Amit},
title = {Context Encoding for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
```
**Deep TEN: Texture Encoding Network** [[arXiv]](https://arxiv.org/pdf/1612.02844.pdf)
[Hang Zhang](http://hangzh.com/), [Jia Xue](http://jiaxueweb.com/), [Kristin Dana](http://eceweb1.rutgers.edu/vision/dana.html)
```
@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Hang and Xue, Jia and Dana, Kristin},
title = {Deep TEN: Texture Encoding Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}
```
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资源分类:Python库 所属语言:Python 资源全名:torch-encoding-1.2.1b20200625.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
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torch-encoding-1.2.1b20200625.tar.gz (93个子文件)
torch-encoding-1.2.1b20200625
PKG-INFO 4KB
torch_encoding.egg-info
PKG-INFO 4KB
requires.txt 82B
SOURCES.txt 3KB
top_level.txt 9B
dependency_links.txt 1B
setup.cfg 67B
setup.py 2KB
README.md 4KB
encoding
functions
dist_syncbn.py 4KB
customize.py 2KB
rectify.py 2KB
encoding.py 4KB
__init__.py 171B
syncbn.py 11KB
models
sseg
psp.py 3KB
atten.py 7KB
fcfpn.py 6KB
fcn.py 8KB
deeplab.py 11KB
__init__.py 474B
upernet.py 4KB
encnet.py 10KB
base.py 10KB
model_zoo.py 3KB
__init__.py 189B
model_store.py 5KB
backbone
resnet.py 14KB
resnext.py 1KB
resnest.py 3KB
__init__.py 150B
xception.py 12KB
wideresnet.py 8KB
resnet_variants.py 2KB
deepten.py 4KB
parallel.py 7KB
nn
loss.py 4KB
customize.py 6KB
splat.py 3KB
rectify.py 2KB
attention.py 6KB
dropblock.py 5KB
encoding.py 13KB
__init__.py 627B
syncbn.py 10KB
__init__.py 568B
transforms
transforms.py 4KB
autoaug.py 5KB
get_transform.py 3KB
__init__.py 67B
lib
__init__.py 1KB
gpu
roi_align_kernel.cu 13KB
common.h 6KB
operator.cpp 2KB
syncbn_kernel.cu 17KB
rectify_cuda.cu 8KB
encoding_kernel.cu 9KB
operator.h 3KB
device_tensor.h 2KB
lib_ssd.cu 18KB
nms_kernel.cu 5KB
activation_kernel.cu 1KB
cpu
nms_cpu.cpp 3KB
syncbn_cpu.cpp 2KB
operator.cpp 1KB
rectify_cpu.cpp 8KB
encoding_cpu.cpp 1KB
operator.h 3KB
roi_align_cpu.cpp 14KB
utils
presets.py 893B
pallete.py 5KB
lr_scheduler.py 3KB
dist_helper.py 998B
metrics.py 6KB
misc.py 939B
precise_bn.py 4KB
train_helper.py 2KB
__init__.py 649B
files.py 4KB
version.py 68B
datasets
pascal_voc.py 3KB
ade20k.py 6KB
coco.py 4KB
cityscapescoarse.py 6KB
hpw18.py 3KB
minc.py 2KB
__init__.py 2KB
imagenet.py 981B
folder.py 2KB
cityscapes.py 6KB
pascal_aug.py 3KB
pcontext.py 4KB
base.py 4KB
共 93 条
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