给我推荐20个比较流行的图像实例分割模型
时间: 2023-02-09 17:38:15 浏览: 73
1. U-Net
2. Mask R-CNN
3. FCN
4. SegNet
5. PSPNet
6. DeepLabv3
7. DenseASPP
8. LinkNet
9. RefineNet
10. ENet
11. ICNet
12. BiSeNet
13. CRF-RNN
14. GCN
15. Tiramisu
16. FRRN
17. DeepLabv3+
18. PANet
19. MaskLab
20. Hybrid Task Cascade
相关问题
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:
1. Mask R-CNN
2. YOLACT
3. DeepLab v3+
4. PSPNet
5. U-Net
6. FCN
7. SegNet
8. Hypercolumn
9. LinkNet
10. FPN
11. RefineNet
12. DenseASPP
13. ENet
14. BiSeNet
15. Fast-SCNN
16. PointRend
17. EfficientDet
18. Swin Transformer
19. Mask Scoring R-CNN
20. 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
### 回答1:
1. DeepLab v3:https://github.com/tensorflow/models/tree/master/research/deeplab
2. Mask R-CNN:https://github.com/matterport/Mask_RCNN
3. U-Net:https://github.com/zhixuhao/unet
4. PSPNet:https://github.com/hszhao/PSPNet
5. Fast R-CNN:https://github.com/rbgirshick/fast-rcnn
6. FCN:https://github.com/shelhamer/fcn.berkeleyvision.org
7. SegNet:https://github.com/alexgkendall/SegNet-Tutorial
8. YOLOv3:https://github.com/pjreddie/darknet
9. Mask R-CNN:https://github.com/matterport/Mask_RCNN
10. ENet:https://github.com/timo saarikoski/ENet-real-time-semantic-segmentation
11. ICNet:https://github.com/hszhao/ICNet
12. DenseASPP:https://github.com/lxy5513/DenseASPP
13. RefineNet:https://github.com/guosheng/refinenet
14. DeepLab v2:https://bitbucket.org/aquariusjay/deeplab-v2
15. FCIS:https://github.com/msracver/FCIS
16. GAN-based methods:https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
17. DeepLab v1:https://bitbucket.org/aquariusjay/deeplab-v1
18. BiSeNet:https://github.com/CoinCheung/BiSeNet
19. CGNet:https://github.com/liyunsheng13/CGNet
20. DANet:https://github.com/junfu1115/DANet
### 回答2:
以下是20个比较流行的图像实例分割模型的源码地址:
1. Mask R-CNN:https://github.com/matterport/Mask_RCNN
2. DeepLab:https://github.com/tensorflow/models/tree/master/research/deeplab
3. FCN:https://github.com/shelhamer/fcn.berkeleyvision.org
4. PSPNet:https://github.com/hszhao/PSPNet
5. UNet:https://github.com/milesial/Pytorch-UNet
6. ICNet:https://github.com/hszhao/ICNet
7. SharpMask:https://github.com/facebookresearch/deepmask
8. FastFCN:https://github.com/wuhuikai/FastFCN
9. RefineNet:https://github.com/DrSleep/refinenet
10. Attention U-Net:https://github.com/ozan-oktay/Attention-Gated-Networks
11. BiSeNet:https://github.com/CoinCheung/BiSeNet
12. SINet:https://github.com/JiawangBian/SINet
13. HRNet:https://github.com/HRNet/HRNet-Semantic-Segmentation
14. OhemEdgeDetection:https://github.com/akanazawa/ohem/ohem/edge_detection
15. DEXTR:https://github.com/scaelles/DEXTR-PyTorch
16. SIPMask:https://github.com/DrSleep/SIPMask
17. SETR:https://github.com/dvittr/SETRe
18. CutMix:https://github.com/clovaai/CutMix-PyTorch
19. Mask-X-RCNN:https://github.com/Joker316701882/Mask-X-RCNN
20. U-Shaped Pyramid Networks:https://github.com/definedge/U-2-Net
这些模型涵盖了当前比较热门和有效的图像实例分割算法,你可以从中选择适合你的需求和技术栈的源码进行参考和使用。
### 回答3:
以下是20个比较流行的图像实例分割模型源码地址:
1. Mask R-CNN: https://github.com/matterport/Mask_RCNN
2. DeepLab: https://github.com/tensorflow/models/tree/master/research/deeplab
3. FCN (Fully Convolutional Networks): https://github.com/shelhamer/fcn.berkeleyvision.org
4. UNet: https://github.com/milesial/Pytorch-UNet
5. PSPNet (Pyramid Scene Parsing Network): https://github.com/hszhao/PSPNet
6. U-Net++: https://github.com/MrGiovanni/UNetPlusPlus
7. HRNet (High-Resolution Networks): https://github.com/HRNet/HRNet-Semantic-Segmentation
8. BiseNet (BiSeNet: Bilateral Segmentation Network): https://github.com/CoinCheung/BiSeNet
9. DANet (Dual Attention Network): https://github.com/junjun-jiang/DANet-pytorch
10. DFANet (Deep Feature Aggregation Network): https://github.com/yilunzhang/DFANet
11. PointRend: https://github.com/facebookresearch/detectron2/tree/main/projects/PointRend
12. Attention UNet: https://github.com/liuzechun/Attention_UNet
13. LightNet: https://github.com/ansleliu/LightNet
14. MaskX-RCNN: https://github.com/liuzechun/MaskX
15. PolarMask: https://github.com/xieenze/PolarMask
16. PolyTransform: https://github.com/google-research/google-research/tree/master/polyrnn-pp
17. FCIS (Fully Convolutional Instance Segmentation): https://github.com/msracver/FCIS
18. CGNet (Context Guided Network): https://github.com/wuhuikai/CGNet
19. ShaResNet: https://github.com/Orcuslc/ShaResNet
20. OCNet (Object Context Network): https://github.com/PkuRainBow/OCNet