给我推荐20个比较流行的图像实例分割模型
U-Net
Mask R-CNN
FCN
SegNet
PSPNet
DeepLabv3
DenseASPP
LinkNet
RefineNet
ENet
ICNet
BiSeNet
CRF-RNN
GCN
Tiramisu
FRRN
DeepLabv3+
PANet
MaskLab
Hybrid Task Cascade
给我推荐20个比较流行的图像实例分割模型源码
好的,根据我的了解,目前流行的图像实例分割模型有如下20种:
Mask R-CNN
YOLACT
DeepLab v3+
PSPNet
U-Net
FCN
SegNet
Hypercolumn
LinkNet
FPN
RefineNet
DenseASPP
ENet
BiSeNet
Fast-SCNN
PointRend
EfficientDet
Swin Transformer
Mask Scoring R-CNN
Poly YOLO
这些模型的源码可以在GitHub或其他代码托管网站上查找。例如,你可以在GitHub上搜索“Mask R-CNN”,找到其官方的实现代码。
给我推荐20个比较流行的图像实例分割模型源码地址
DeepLab v3:https://github.com/tensorflow/models/tree/master/research/deeplab
Mask R-CNN:https://github.com/matterport/Mask_RCNN
U-Net:https://github.com/zhixuhao/unet
PSPNet:https://github.com/hszhao/PSPNet
Fast R-CNN:https://github.com/rbgirshick/fast-rcnn
FCN:https://github.com/shelhamer/fcn.berkeleyvision.org
SegNet:https://github.com/alexgkendall/SegNet-Tutorial
YOLOv3:https://github.com/pjreddie/darknet
Mask R-CNN:https://github.com/matterport/Mask_RCNN
ENet:https://github.com/timo saarikoski/ENet-real-time-semantic-segmentation
ICNet:https://github.com/hszhao/ICNet
DenseASPP:https://github.com/lxy5513/DenseASPP
RefineNet:https://github.com/guosheng/refinenet
DeepLab v2:https://bitbucket.org/aquariusjay/deeplab-v2
FCIS:https://github.com/msracver/FCIS
GAN-based methods:https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
DeepLab v1:https://bitbucket.org/aquariusjay/deeplab-v1
BiSeNet:https://github.com/CoinCheung/BiSeNet
CGNet:https://github.com/liyunsheng13/CGNet
DANet:https://github.com/junfu1115/DANet